Up-to-date Publications
Full publication list of NAVER Cloud
2025
Target venues: EMNLP (), ECCV (), AAAI (), ICLR (), CHI (8), NAACL (), CVPR (), ICML (), ACL (), ICASSP (), CSCW (), Interspeech (), NeurIPS ()
AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation Dasom Choi (KAIST), SoHyun Park (NAVER Cloud), Young-Ho Kim (NAVER AI Lab). CHI 2025.
ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing Suhyeon Yoo (UToronto), Khai N. Truong (UToronto), Young-Ho Kim (NAVER AI Lab). CHI 2025.
ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models Inhwa Song (KAIST), SoHyun Park (NAVER Cloud), Sachin R. Pendse (GaTech), Jessica Lee Schleider (Northwestern), Munmun De Choudhury (GaTech), Young-Ho Kim (NAVER AI Lab). CHI 2025.
Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring Eunkyung Jo (UC Irvine), Young-Ho Kim (NAVER AI Lab), Sang-Houn Ok (NAVER Cloud), Daniel A. Epstein (UC Irvine). CHI 2025.
Enhancing Pediatric Communication: The Role of an AI-Driven Chatbot in Facilitating Child-Parent-Provider Interaction Woosuk Seo (UMich), Young-Ho Kim (NAVER AI Lab), Megan Tao Fan (UMich), Ji Eun Kim (UMich), Mark S. Ackerman (UMich), Sung Won Choi (UMich), Sun Young Park (UMich). CHI 2025.
Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing Damien Masson (UToronto), Young-Ho Kim (NAVER AI Lab), Fanny Chevalier (UToronto). CHI 2025.
Making the Write Connections: Linking Writing Support Tools with Writer Needs Zixin Zhao (UToronto), Damien Masson (UToronto), Young-Ho Kim (NAVER AI Lab), Gerald Penn (UToronto), Fanny Chevalier (UToronto). CHI 2025.
"They Didn't Mean To": Leveraging The Diversity of Perspectives In LLM-Enhanced Subjective Decision-Making Paula Akemi Aoyagui (UToronto), Kelsey Stemmler (UToronto), Sharon Ferguson (UToronto), Young-Ho Kim (NAVER AI Lab), Anastasia Kuzminykh (UToronto). CHI 2025.
2024
Target venues: EMNLP (6), ECCV (11), AAAI (4), ICLR (15), CHI (6), NAACL (4), CVPR (6), ICML (4), ACL (9), ICASSP (4), CSCW (1), UIST, Interspeech (1), NeurIPS (9)
Polyhedral Complex Derivation from Piecewise Trilinear Networks. Jin-Hwa Kim (NAVER AI Lab, SNU AIIS). NeurIPS 2024.
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. Junha Hyung (KAIST), Susung Hong (Korea University), Sungwon Hwang (KAIST), Jaeseong Lee (KAIST), Jaegul Choo* (KAIST), Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS). NeurIPS 2024.
Diffusion Unlearning Optimization for Robust and Safe Text-to-Image Models. Yong-Hyun Park (SNU), Sangdoo Yun (NAVER AI Lab, SNU AIIS), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Junho Kim (NAVER AI Lab), Geonhui Jang (Korea Univ.), Yonghyun Jeong (NAVER Cloud), Junghyo Cho* (SNU, KIAS), Gayoung Lee* (NAVER AI Lab). NeurIPS 2024.
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung (KAIST), Jaeyun Song (KAIST), June Yong Yang (KAIST), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Sung-Yub Kim (KAIST), Eunho Yang (KAIST). NeurIPS 2024.
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. Sunghyeon Woo* (SNU), Baeseong Park* (NAVER Cloud), Byeongwook Kim (NAVER Cloud), Minjung Jo (NAVER Cloud), Se Jung Kwon (NAVER Cloud), Dongsuk Jeon (SNU), Dongsoo Lee (NAVER Cloud). NeurIPS 2024.
Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo. NeurIPS 2024.
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries. Sunjun Kweon (KAIST) , Jiyoun Kim (KAIST), Heeyoung Kwak (NAVER Digital Healthcare LAB), Dongchul Cha (NAVER Digital Healthcare LAB, NAVER Healthcare LAB), Hangyul Yoon (KAIST), Kwanghyun Kim (Ewha Womans University College of Medicine), Jeewon Yang (KAIST), Seunghyun Won (Seoul National University Bundang Hospital) , Edward Choi* (KAIST), NeurIPS 2024.
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study Sangwon Jung, Sumin Yu, Sanghyuk Chun* (NAVER AI Lab), Taesup Moon*. NeurIPS 2024 Track Datasets and Benchmarks.
Towards Calibrated Robust Fine-Tuning of Vision-Language Models, Changdae Oh (UW–Madison), Hyesu Lim (KAIST), Mijoo Kim (CAU), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jaegul Choo (KAIST), Alexander Hauptmann (CMU), Zhi-Qi Cheng (CMU), Kyungwoo Song (Yonsei Univ.), NeurIPS 2024.
Rethinking the Role of Proxy Rewards in Language Model Alignment. Sungdong Kim (NAVER Cloud), Minjoon Seo (KAIST). EMNLP 2024.
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning. Geewook Kim (NAVER Cloud), Minjoon Seo (KAIST). EMNLP 2024.
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. Fatemeh Pesaran zadeh (SNU), Juyeon Kim (KAIST), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Gunhee Kim (SNU). EMNLP 2024 Oral.
Aligning Language Models to Explicitly Handle Ambiguity. Hyuhng Joon Kim, Youna Kim, Cheonbok Park (NAVER Cloud), Junyeob Kim, Choonghyun Park, Kang Min Yoo (NAVER Cloud), Sang-goo Lee, Taeuk Kim. EMNLP 2024.
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. Youna Kim, Hyuhng Joon Kim, Cheonbok Park (NAVER Cloud), Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo (NAVER Cloud), Sang-goo Lee, Taeuk Kim. EMNLP 2024 Findings.
OffsetBias: Leveraging Debiased Data for Tuning Evaluators Junsoo Park, Seungyeon Jwa, Meiying Ren, Daeyoung Kim, Sanghyuk Choi (NAVER Cloud). EMNLP 2024 Findings.
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs, Donghyun Kim* (NAVER CLOUD), Byeongho Heo (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab), ECCV 2024.
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts, Wonjae Kim (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Taekyung Kim (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), ECCV 2024 Oral.
Leveraging Temporal Contextualization for Video Action Recognition, Minji Kim (SNU), Dongyoon Han (NAVER AI Lab), Taekyung Kim* (NAVER AI Lab), Bohyung Han* (SNU), ECCV 2024.
Learning with Unmasked Tokens Drives Stronger Vision Learners, Taekyung Kim* (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab), ECCV 2024.
Model Stock: All we need is just a few fine-tuned models, Dong-Hwan Jang (NAVER AI Lab), Sangdoo Yun* (NAVER AI Lab), Dongyoon Han* (NAVER AI Lab), ECCV 2024 Oral.
Rotary Position Embedding for Vision Transformer, Byeongho Heo (NAVER AI Lab), Song Park (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), ECCV 2024.
SeiT++: Masked Token Modeling Improves Storage-efficient Training, Minhyun Lee* (KAIST AI), Song Park* (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Hyunjung Shim (KAIST AI), ECCV 2024.
Similarity of Neural Architectures Based on Input Gradient Transferability, Jaehui Hwang (Yonsei University), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Song Park (NAVER AI Lab), Sanghyuk Chun* (NAVER AI Lab), Jong-Seok Lee* (Yonsei University), ECCV 2024.
Classification Matters: Improving Video Action Detection with Class-Specific Attention. Jinsung Lee (POSTECH), Taeoh Kim (NAVER Cloud), Inwoong Lee (NAVER Cloud), Minho Shim (NAVER Cloud), Dongyoon Wee (NAVER Cloud), Minsu Cho (POSTECH), Suha Kwak (POSTECH), ECCV 2024.
Regularizing Dynamic Radiance Fields with Kinematic Fields. Woobin Im (KAIST), Geonho Cha (NAVER Cloud), Sebin Lee (KAIST), Jumin Lee (KAIST), Juhyeong Seon (KAIST), Dongyoon Wee (NAVER Cloud), Sung-Eui Yoon (KAIST), ECCV 2024.
Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling. Jaehyeok Kim (HKUST), Dongyoon Wee (NAVER Cloud), Dan Xu (HKUST), ECCV 2024.
BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification. June-Woo Kim (Kyungpook National University), Miika Toikkanen (MODULABS), Yera Choi (NAVER Digital Healthcare LAB), Seoung-Eun Moon* (NAVER Digital Healthcare LAB), Ho-Young Jung* (Kyungpook National University), Interspeech 2024.
The Explanation That Hits Home: The Characteristics of Verbal Explanations That Affect Human Perception in Subjective Decision-Making Sharon Ferguson, Paula Akemi Aoyagui, Rimsha Rizvi, Young-Ho Kim (NAVER AI Lab), and Anastasia Kuzminykh, PACM HCI (CSCW 2024).
LangBridge: Multilingual Reasoning without Multilingual Supervision, Dongkeun Yoon, Joel Jang, Sungdong Kim (NAVER CLOUD), Seungone Kim, Sheikh Shafayat, Minjoon Seo, ACL 2024 Main.
Who Wrote this Code? Watermarking for Code Generation, Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jamin Shin, Gunhee Kim, ACL 2024 Main.
Calibrating Large Language Models Using Their Generations Only, Dennis Thomas Ulmer, Martin Gubri (Parameter Lab), Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Seong Joon Oh (Parameter Lab), ACL 2024 Main.
Aligning Large Language Models by On-Policy Self-Judgment, Sangkyu Lee, Sungdong Kim* (NAVER CLOUD), Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo (NAVER CLOUD), Youngjae Yu*, ACL 2024 Main.
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval, Dohyeon Lee, Jongyoon Kim, Seung-Won Hwang, Joonsuk Park (NAVER AI Lab), ACL 2024 Main.
KoBBQ: Korean Bias Benchmark for Question Answering, Jiho Jin, Jiseon Kim, Nayeon Lee, Haneul Yoo, Alice Oh, Hwaran Lee (NAVER AI Lab), ACL 2024 (TACL).
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. Jaewoo Ahn (SNU), Taehyun Lee (SNU), Junyoung Lim (SNU), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Sangdoo Yun (NAVER AI Lab, SNU AIIS), Hwaran Lee (NAVER AI Lab), Gunhee Kim (SNU). ACL 2024 Findings.
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge, Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee (NAVER AI Lab), Edward Choi, ACL 2024 Findings.
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification, Martin Gubri (Parameter Lab), Dennis Thomas Ulmer, Hwaran Lee (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Seong Joon Oh (Parameter Lab), ACL 2024 Findings.
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities, Hyunjong Ok, Taeho Kil (NAVER Cloud), Sukmin Seo (NAVER Cloud), Jaeho Lee, NAACL 2024 Main.
Toward Interactive Regional Understanding in Vision-Large Language Models , Jungbeom Lee, Sanghyuk Chun* (NAVER AI Lab), Sangdoo Yun* (NAVER AI Lab), NAACL 2024 Main.
LifeTox: Unveiling Implicit Toxicity in Life Advice, Minbeom Kim, Jahyun Koo, Hwanhee Lee, Joonsuk Park (NAVER AI Lab), Hwaran Lee (NAVER AI Lab), Kyomin Jung, NAACL 2024 Main.
Instruction Tuning with Human Curriculum Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo, NAACL 2024 Findings.
EGTR: Extracting Graph from Transformer for Scene Graph Generation, Jinbae Im (NAVER Cloud), JeongYeon Nam (NAVER Cloud), Nokyung Park (NAVER), Hyungmin Lee (NAVER), Seunghyun Park (NAVER Cloud), CVPR 2024 Oral (Best paper nominated).
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning, Beomyoung Kim (NAVER Cloud), Joonsang Yu (NAVER Cloud), Sung Ju Hwang (KAIST), CVPR 2024.
Exploiting Style Latent Flows for Video Deepfake Detection, Jongwook Choi, Taehoon Kim, Yonghyun Jeong (NAVER Cloud), Seungryul Baek, Jongwon Choi, CVPR 2024.
One-Shot Structure-Aware Stylized Image Synthesis, Hansam Cho, Jong Hyun Lee, Seunggyu Chang (NAVER Cloud), Yonghyun Jeong (NAVER Cloud), CVPR 2024;
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization, Jisu Nam, Heesu Kim (NAVER CLOUD), DongJae Lee, Seungryong Kim, Seunggyu Chang (NAVER CLOUD), CVPR 2024;
Language-only Efficient Training of Zero-shot Composed Image Retrieval., Geonmo Gu* (NAVER), Sanghyuk Chun* (NAVER AI Lab), Wonjae Kim (NAVER AI Lab), Yoohoon Kang (NAVER), Sangdoo Yun (NAVER AI Lab), CVPR 2024;
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment, Jaewoo Lee (KAIST), Jaehong Yoon (KAIST), Wonjae Kim (NAVER AI Lab), Yunji Kim (NAVER AI Lab), Sung Ju Hwang (KAIST), ICML 2024.
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models. Taehong Moon (KRAFTON), Moonseok Choi (KAIST), EungGu Yun (KAIST), Jongmin Yoon (KAIST), Gayoung Lee (NAVER AI Lab), Jaewoong Cho (KRAFTON), Juho Lee (KAIST). ICML 2024.
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs, Mingyu Kim (KAIST), Jun-Seong Kim (KAIST), Se-Young Yun (KAIST)*, Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS). ICML 2024.
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. Yeonsung Jung (KAIST), Heecheol Yun (KAIST), Joonhyung Park (KAIST), Jin-Hwa Kim* (NAVER AI Lab, SNU AIIS), Eunho Yang* (KAIST). ICML 2024.
Vision-Language Generative Model for View-Specific Chest X-ray Generation. Hyungyung Lee (KAIST), Da Young Lee (Deep-in-Sight Co.), Wonjae Kim (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab, SNU AIIS), Tackeun Kim (Seoul National Bundang Hospital), Jihang Kim (Seoul National Bundang Hospital), Leonard Sunwoo (Seoul National Bundang Hospital), Edward Choi (KAIST). CHIL 2024.
ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events. Woosuk Seo (Univ. of Michigan), Chanmo Yang (Wonkwang Univ. Hospital), Young-Ho Kim (NAVER AI Lab). CHI 2024.
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients’ Journaling. Taewan Kim (KAIST), Seolyeong Bae (GIST), Hyun Ah Kim (NAVER Cloud), Su-woo Lee (Wonkwang Univ. Hospital), Hwajung Hong (KAIST), Chanmo Yang (Wonkwang Univ. Hospital), Young-Ho Kim (NAVER AI Lab). CHI 2024.
Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention. Eunkyung Jo (UC Irvine), Yuin Jeong (NAVER Cloud), SoHyun Park (NAVER Cloud), Daniel A. Epstein (UC Irvine), Young-Ho Kim (NAVER AI Lab). CHI 2024.
DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling. Taewan Kim (KAIST), Donghoon Shin (UW), Young-Ho Kim (NAVER AI Lab), Hwajung Hong (KAIST). CHI 2024.
GenQuery: Supporting Expressive Visual Search with Generative Models. Kihoon Son (KAIST), DaEun Choi (KAIST), Tae Soo Kim (KAIST), Young-Ho Kim (NAVER AI Lab), Juho Kim (KAIST). CHI 2024.
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. Tae Soo Kim (KAIST), Yoonjoo Lee (KAIST), Jamin Shin (NAVER AI Lab), Young-Ho Kim (NAVER AI Lab), Juho Kim (KAIST). CHI 2024.
Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification. Hee-Soo Heo (NAVER Cloud), KiHyun Nam, Bong-Jin Lee (NAVER Cloud), Youngki Kwon (NAVER Cloud), Minjae Lee (NAVER Cloud), You Jin Kim (NAVER Cloud), Joon Son Chung ICASSP 2024 Oral.
TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning. Chaeyoung Jung, Suyeon Lee, Kihyun Nam, Kyeongha Rho, You Jin Kim (NAVER Cloud), Youngjoon Jang, Joon Son Chung ICASSP 2024 Oral.
Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-End Speech Recognisers. Michael Hentschel, Yuta Nishikawa (LINE), Tatsuya Komatsu (LINE), Yusuke Fujita(LINE) ICASSP 2024 Oral.
Enhancing Multilingual TTS with Voice Conversion Based Data Augmentation and Posterior Embedding. Hyun-Wook Yoon; Jin-Seob Kim; Ryuichi Yamamoto; Ryo Terashima; Chan-Ho Song; Jae-Min Kim; Eunwoo Song, ICASSP 2024.
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing. Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Taehyun Oh*, Yonghyun Jeong*. ICLR 2024.
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis. Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong. ICLR 2024.
Label-Noise Robust Diffusion Models, Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon. ICLR 2024.
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee. ICLR 2024.
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. Gunho Park, Baeseong Park, Minsub Kim, S. Lee, J. Kim, B. Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee. ICLR 2024.
Compressed Context Memory for Online Language Model Interaction. Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun*, Hyun Oh Song*. ICLR 2024.
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. Giung Nam, Byeongho Heo, Juho Lee. ICLR 2024.
Bridging Vision and Language Spaces with Assignment Prediction. Jungin Park, Jiyoung Lee, Kwanghoon Sohn. ICLR 2024.
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-Hwa Kim*, Jiyoung Lee*, Seungryong Kim*. ICLR 2024.
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. Seonghyeon Ye∗, Doyoung Kim∗, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo. ICLR 2024 (Spotlight).
Prometheus: Inducing Evaluation Capability in Language Models. Seungwon Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Sungjin Shin, Sungdong Kim, James Thron, Minjoon Seo. ICLR 2024.
SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval. Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin. ICLR 2024.
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin. ICLR 2024.
What does automatic differentiation compute for neural networks? Sejun Park, Sanghyuk Chun, Wonyeol Lee. ICLR 2024. (Spotlight)
Improved Probabilistic Image-Text Representations. Sanghyuk Chun. ICLR 2024.
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. YoungJoon Yoo, Jongwon Choi. AAAI 2024.
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. Sunoh Kim, Jungchan Cho, Joonsang Yu, YoungJoon Yoo, Jin Young Choi. AAAI 2024.
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim. AAAI 2024.
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication. Hyunmin Choi (NAVER CLOUD), Simon S. Woo, and Hyoungshick Kim. AAAI 2024.
2023
Target venues (89): AAAI (6), CHI (4), ICLR (8), ICASSP (10), EACL (1), CVPR (8), ICML (5), ACL (11), CSCW (2), UIST (1), Interspeech (9), ICCV (13), EMNLP (8), NeurIPS (4)
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee. Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS 2023.
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh. ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023.
Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song. Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS 2023.
Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang. Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. NeurIPS 2023.
Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park. Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models authors. EMNLP 2023.
Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. EMNLP 2023.
Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo. Aligning Large Language Models through Synthetic Feedback. EMNLP 2023.
Gangwoo Kim, Sungdong Kim, Byeong Guk Jeon, Joonsuk Park, and Jaewoo Kang. Tree of Clarifications: Answering Ambiguous Questions with Large Language Models. EMNLP 2023.
Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park, and Gunhee Kim. mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images. EMNLP 2023.
Jihyuk Kim, Minsoo Kim, Joonsuk Park and Seung-won Hwang. Relevance-aware Generation for Robust Zero-shot Retrieval. EMNLP 2023 Industry Track.
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim. Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. EMNLP 2023 Findings.
Dongryeol Lee*, Segwang Kim*, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, and Kyomin Jung. Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. EMNLP 2023 Findings.
Seunggyu Chang, Gihoon Kim, Hayeon Kim, HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer. ICCV 2023.
ChangHee Yang ( Sogang University ), Kyeongbo Kong ( Pukyong National University ), Sung-Jun Min ( Sogang University ), Dongyoon Wee, Ho-Deok Jang, Geonho Cha, Suk-Ju Kang ( Sogang University ). SEFD: Learning to Distill Complex Pose and Occlusion. ICCV 2023.
Daehee Kim, Yoonsik Kim*, DongHyun Kim, Yumin Lim, Geewook Kim, Taeho Kil. SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. ICCV 2023.
Hanjae Kim (Yonsei), Jiyoung Lee, Seongheon Park (Yonsei), Kwanghoon Sohn (Yonsei). Contextual, Discriminative, and Unbiased Compositional Zero-Shot Learning. ICCV 2023.
Jongbin Ryu*, Dongyoon Han*, Jongwoo Lim. Gramian Attention Heads are Strong yet Efficient Vision Learners. ICCV 2023.
Dahuin Jung, Dongyoon Han, Jiwhan Bang, Hwanjun Song. Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV 2023.
BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. Seunpgil Won (LG AI Research, SNU), Heeyoung Kwak (NAVER AI Lab, NAVER Digital Healthcare Lab), Joongbo Shin (LG AI Research), Janghoon Han (LG AI Research), Kyomin Jung* (SNU), ACL 2023.
Jung Hyun Lee (NAVER CLOUD), Jeonghoon Kim (NAVER CLOUD), Se Jung Kwon (NAVER CLOUD), Dongsoo Lee (NAVER CLOUD). FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML 2023. [paper]
Seungjin Jung (ChungAng Univ.), Seungmo Seo (ChungAng Univ.), Yonghyun Jeong (NAVER Cloud), Jongwon Choi (ChungAng Univ.). Scaling of Class-wise Training Losses for Post-hoc Calibration. ICML 2023. [paper]
Hyungseob Shin (Yonsei Univ.), Hyeongyu Kim (Yonsei Univ.), Sewon Kim (NAVER AI Lab, NAVER Cloud), Yohan Jun (Massachusetts General Hospital), Taejoon Eo (Yonsei Univ.), Dosik Hwang (Yonsei Univ.). SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. CVPR 2023. [paper]
Jaeuk Byun (NAVER Cloud), Youna Ji (NAVER Cloud), Soo-Whan Chung (NAVER Cloud), Soyeon Choe (NAVER Cloud), Min-Seok Choe (NAVER Cloud). An empirical study on speech restoration guided by self-supervised speech representation. ICASSP 2023. [paper]
Younghoon Byun(POSTECH), Seungsik Moon(POSTECH), Baeseong Park(NAVER CLOUD), Se Jung Kwon(NAVER CLOUD), Dongsoo Lee(NAVER CLOUD), Gunho Park(POSTECH). Eunji Yoo(POSTECH), Jung Gyu Min(POSTECH), Youngjoo Lee(POSTECH). Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys 2023. [paper]
Eunji Yoo(POSTECH), Gunho Park(POSTECH), Jung Gyu Min(POSTECH), Se Jung Kwon(NAVER CLOUD), Baeseong park(NAVER CLOUD), Dongsoo Lee(NAVER CLOUD) and Youngjoo Lee(POSTECH). TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC (Design Automation Conference) 2023. [paper]
Yoonjoo Lee (KAIST), Tae Soo Kim (KAIST), Sungdong Kim (NAVER AI Lab), Yohan Yun (KAIST), Juho Kim (KAIST). DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions. CHI 2023.
Kyuyong Shin (NAVER), Hanock Kwak (NAVER), Su Young Kim (NAVER), Max Nihlen Ramstrom (NAVER), Jisu Jeong (NAVER), Jung-Woo Ha (NAVER AI Lab), Kyung-Min Kim (NAVER).
Jinyoung Park (Korea Univ.), Hyeong Kyu Choi (Korea Univ.), Juyeon Ko (Korea Univ.), Hyeonjin Park (NAVER), Ji-Hoon Kim (NAVER), Jisu Jeong (NAVER), Kyungmin Kim (NAVER), Hyunwoo Kim (Korea Univ.).
Hyunsoo Cho (SNU), Hyuhng Joon Kim (SNU), Junyeob Kim (SNU), Sang-Woo Lee (NAVER AI Lab), Sang-goo Lee (SNU), Kang Min Yoo^ (NAVER AI Lab), Taeuk Kim^ (Hanyang Univ.)
Junyoung Seo (Korea Univ.), Gyuseong Lee (Korea Univ.), Seokju Cho (Korea Univ.), Jiyoung Lee(NAVER AI Lab), Seungryong Kim (Korea Univ.).
Sangyeop Yeo (UNIST), Yoojin Jang (UNIST), Jy-yong Sohn (UNIST), Dongyoon Han (NAVER AI Lab), Jaejun Yoo (UNIST).
2022
Target venues (97): AAAI (4), CHI (2), ICASSP (7), ICLR (13), ACL (2), CVPR (14), NAACL (5), ICML (5), Interspeech (8), ECCV (13), CIKM (3), COLING (2), ICDM (2), NeurIPS (8), EMNLP (9)
Hyeongdon Moon* (RiiiD), Yoonseok Yang∗ (RiiiD), Hangyeol Yu (RiiiD), Seungtaek Choi (RiiiD), Seunghyun Lee (RiiiD), Myeongho Jeong (RiiiD), Juneyoung Park (RiiiD), Minsam Kim (RiiiD), Jamin Shin (NAVER AI Lab). Evaluating the Knowledge Dependency of Questions. EMNLP 2022.
Zaiqian Chen (Univ. of Richmond), Daniel Verdido Amarante (Univ. of Richmond), Jenna Donaldson (Univ. of Richmond), Yohan Jo (Amazon), Joonsuk Park (NAVER AI Lab & Univ. of Richmond). Argument Mining for Review Helpfulness Prediction. EMNLP 2022.
MinJoon Jung (SNU), SeongHo Choi (SNU), JooChan Kim (SNU), Jin-Hwa Kim* (NAVER AI Lab) and Byoung-Tak Zhang* (SNU). Modal-Specific Pseudo Query Generation for Video Corpus Moment Retrieval. EMNLP 2022.
Se Jung Kwon (NAVER CLOVA), Jeonghoon Kim (NAVER CLOVA), Jeongin Bae (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jin-Hwa Kim (NAVER AI Lab), Baeseong Park (NAVER CLOVA), Byeongwook Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Nako Sung (NAVER CLOVA), Dongsoo Lee (NAVER CLOVA). AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. Findings in EMNLP 2022.
Sanghwan Bae (NAVER CLOVA), Donghyun Kwak (NAVER CLOVA), Soyoung Kang (NAVER CLOVA), Min Young Lee (NAVER CLOVA), Sungdong Kim (NAVER AI Lab), Yuin Jeong (NAVER CLOVA), Hyeri Kim (NAVER CLOVA), Sang-Woo Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA), Nako Sung (NAVER CLOVA). Keep Me Updated! Memory Management in Long-term Conversations. Findings in EMNLP 2022.
Hyunsoo Cho (SNU), Choonghyun Park (SNU), Jaewook Kang, Kang Min Yoo, Taeuk Kim (HYU), Sang-goo Lee (SNU). Improving Out-of-Distribution Detection via Implicit Layer Ensemble. Findings in EMNLP 2022.
Balhae Kim (KAIST), Jungwon Choi (KAIST), Seanie Lee (KAIST), Yoonho Lee (Stanford Univ.), Jung-Woo Ha (NAVER AI Lab), Juho Lee (KAIST). On Divergence Measures for Bayesian Pseudocoresets. NeurIPS 2022.
Sang-Hoon Lee (Korea Univ.), Seung-Bin Kim (Korea Univ.), Ji-Hyun Lee (Korea Univ.), Eunwoo Song (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA), Seong-Whan Lee (Korea Univ.). HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. NeurIPS 2022.
Inwoo Hwang (SNU), Sangjun Lee (SNU), Yunhyeok Kwak (SNU), Seong Joon Oh (Univ. of Tuebingen), Damien Teney (Idiap), Jin-Hwa Kim (NAVER AI Lab), Byoung-Tak Zhang (SNU). SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022.
Dongmin Park (KAIST), Yooju Shin (KAIST), Jihwan Bang (NAVER CLOVA), Youngjun Lee (KAIST), Hwanjun Song (NAVER AI Lab), Jae-Gil Lee (KAIST). Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS 2022.
Chen-Chieh Liao (Tokyo Institute of Technology), Haruki Kikuchi (Tokyo Institute of Technology), Dong-Hyun Hwang (NAVER CLOVA), Hideki Koike (Tokyo Institute of Technology). Virtual Club Shadow: A Real-time Projection of Golf Club Trajectory. IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2022).
Chen-Chieh Liao (Tokyo Institute of Technology), Dong-Hyun Hwang (NAVER CLOVA),
Hideki Koike (Tokyo Institute of Technology). AI Golf: Golf Swing Analysis Tool for Self Training. IEEE Access. 2022.
Sewhan Chun (NAVER), Jae Young Lee (KAIST), Junmo Kim (KAIST). Cyclic Test Time Augmentation with Entropy Weight Method. UAI 2022.
Young-Jin Park (NAVER CLOVA), Donghyun Kim (SNU), Frédéric Odermatt (ETH Zurich), Juho Lee (NAVER CLOVA), and Kyung-Min Kim (NAVER CLOVA). A Large-Scale Ensemble Learning Framework for Demand Forecasting. ICDM 2022.
Dongmin Park (KAIST), Junhyeok Kang (KAIST), Hwanjun Song (NAVER AI Lab), Susik Yoon (KAIST), Jae-Gil Lee (KAIST). Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM 2022.
Reinald Kim Amplayo (Google, Postdoc@NAVER AI Lab ), Kang Min Yoo (NAVER AI Lab), Sang-Woo Lee (NAVER AI Lab). Attribute Injection for Pretrained Language Models: A New Benchmark and An Efficient Method. COLING 2022.
Xiaodong Gu (Shanghai Jiao Tong Univ.), Zhaowei Zhang (Shanghai Jiao Tong Univ.), Sang-Woo Lee (NAVER CLOVA), Kang Min Yoo (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022.
Seong Hyeon Park (KAIST), Jihoon Tack (KAIST), Byeongho Heo (NAVER CLOVA AI Lab), Jung-Woo Ha (NAVER CLOVA AI Lab), Jinwoo Shin (KAIST). K-centered Patch Sampling for Efficient Video Recognition. ECCV 2022.
Hyejin Lee (Kookmin Univ.), Daehee Kim (NAVER CLOVA), Daeun Lee (Korea Univ.), Jinkyu Kim (Korea Univ.), Jaekoo Lee (Kookmin Univ.). Bridging the Domain Gap towards Generalization in Automatic Colorization. ECCV 2022.
Byeonghu Na (KAIST), Yoonsik Kim (NAVER CLOVA), Sungrae Park (UPSTAGE). Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. ECCV 2022.
Geewook Kim (NAVER CLOVA), Teakgyu Hong (UPSTAGE), Moonbin Yim (NAVER CLOVA), Jinyoung Park (TmaxSoft), Jinyeong Yim (NAVER CLOVA), Wonseok Hwang (LBOX), Sangdoo Yun (NAVER CLOVA AI Lab), Dongyoon Han (NAVER CLOVA AI Lab), and Seunghyun Park (NAVER CLOVA). OCR-free Document Understanding Transformer. ECCV 2022.
Seonwoo Min (LG AI Research), Nokyung Park (Korea Univ.), Siwon Kim (SNU), Seunghyun Park (NAVER CLOVA), and Jinkyu Kim (Korea Univ.). Grounding Visual Representations with Texts for Domain Generalization. ECCV 2022.
Byeong-Ju Han (NAVER CLOVA), Jae-Young Sim (UNIST). RZero-Shot Learning for Reflection Removal of Single 360-Degree Image. ECCV 2022.
Jaemin Na (Ajou Univ.), Dongyoon Han (NAVER CLOVA AI Lab), Hyung Jin Chang (University of Birmingham), Wonjun Hwang (Ajou Univ.). Contrastive Vicinal Space for Unsupervised Domain Adaptation. ECCV 2022.
Yonghyun Jeong (NAVER CLOVA), Doyeon Kim (LINE+), Youngmin Ro (U. of Seoul), Pyounggeon Kim (Chungang Univ.), Jongwon Choi (Chungang Univ). FingerprintNet: Synthesized Fingerprints for Generated Image Detection. ECCV 2022.
Minkyu Jeon(Broad Institute of MIT and Harvard, Korea University), Hyeonjin Park (NAVER CLOVA), Hyunwoo J. Kim (Korea University), Michael Morley (EyeBoston), Hyunghoon Cho (Broad Institute of MIT and Harvard). k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment. ECCV 2022.
SangMook Kim (KAIST), SangMin Bae (KAIST), Se-Young Yun (KAIST), Hwanjun Song (NAVER AI Lab). LG-FAL : Federated Active Learning Strategy using Local and Global Models. ICML 2022 Workshop: Adaptive Experimental Design and Active Learning in the Real World. 2022.
Gi-Cheon Kang (SNU), Sungdong Kim (NAVER AI Lab) , Jin-Hwa Kim (NAVER AI Lab), Donghyun Kwak (NAVER CLOVA), Byoung-Tak Zhang (SNU). Generative Self-training Improves Pre-training for Visual Dialog. ICML 2022 Pre-training Workshop. 2022.
Inwoo Hwang (SNU), Sangjun Lee (SNU), Yunhyeok Kwak (SNU), Seong Joon Oh (Univ. of Tuebuingen), Damien Teney (IDIAP), Jin-Hwa Kim (NAVER AI Lab), Byoung-Tak Zhang (NAVER AI Lab). SelecMix: Debiased Learning by Mixing up Contradicting Pairs. ICML 2022: Workshop on Spurious Correlations, Invariance and Stability (SCIS). 2022.
Hyun-Wook Yoon (NAVER CLOVA), Ohsung Kwon (NAVER CLOVA), Hoyeon Lee (NAVER CLOVA), Ryuichi Yamamoto (Line), Eunwoo Song (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA). Language Model-Based Emotion Prediction Methods for Emotional Speech Synthesis Systems. Interspeech 2022.
Ryo Terashima (Line), Ryuichi Yamamoto (Line), Eunwoo Song (NAVER CLOVA), Yuma Shirahata (Line), Hyunwook Yoon (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA), Kentaro Tachibana (Line) Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation. Interspeech 2022.
Jee-weon Jung (NAVER CLOVA), Youjin Kim (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Bong-Jin Lee (NAVER CLOVA), Youngki Kwon (NAVER CLOVA) and Joon Son Chung (KAIST). Pushing the limits of raw waveform speaker recognition. Interspeech 2022.
Jee-weon Jung (NAVER CLOVA), Hemlata Tak (EURECOM), Hye-jin Shim (NAVER CLOVA), Hee-Soo Heo (NAVER CLOVA), Bong-Jin Lee (NAVER CLOVA), Soo-Whan Chung (NAVER CLOVA), Ha-Jin Yu (Univ. of Seoul), Nicholas Evans (EURECOM) and Tomi Kinnunen (EURECOM). SASV 2022: The First Spoofing-Aware Speaker Verification Challenge. Interspeech 2022.
Jaesong Lee (NAVER CLOVA), Lukas Lee (NAVER CLOVA) and Shinji Watanabe (CMU). Memory-Efficient Training of RNN-Transducer with Sampled Softmax. Interspeech 2022.
Tatsuya Komatsu (LINE), Yusuke Fujita (LINE), Jaesong Lee (NAVER CLOVA), Lukas Lee (NAVER CLOVA), Shinji Watanabe (CMU) and Yusuke Kida (LINE). Better Intermediates Improve CTC Inference. Interspeech 2022.
Hyeon-Kyeong Shin (NAVER CLOVA), Hyewon Han (Yonsei Univ.), Doyeon Kim (Yonsei Univ.), Soo-Whan Chung (NAVER CLOVA), Hong-Goo Kang (Yonsei Univ.). Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting. Interspeech 2022.
Eunwoo Song (NAVER CLOVA), Ryuichi Yamamoto (LINE), Ohsung Kwon (NAVER CLOVA), Chan-Ho Song (NAVER CLOVA), Min-Jae Hwang (NAVER CLOVA), Suhyeon Oh (NAVER CLOVA), Hyun-Wook Yoon (NAVER CLOVA), Jin-Seob Kim (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA). TTS-by-TTS 2: Data-selective Augmentation for Neural Speech Synthesis Using Ranking Support Vector Machine with Variational Autoencoder. Interspeech 2022.
Namuk Park (NAVER AI Lab), Songkuk Kim (Yonsei Univ.). Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. ICML 2022.
Giung Nam (KAIST), Hyungi Lee (KAIST), Byeongho Heo (NAVER AI LAB), Juho Lee (KAIST). Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation. ICML 2022.
Sukmin Yun (KAIST), Jaehyung Kim (KAIST), Dongyoon Han (NAVER CLOVA AI Lab), Hwanjun Song (NAVER CLOVA AI Lab), Jung-Woo Ha (NAVER CLOVA, AI Lab), Jinwoo Shin (KAIST). Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022.
Jang-Hyun Kim (SNU), Jinuk Kim (SNU), Seong Joon Oh (Univ. of Tuebingen, NAVER CLOVA AI Lab), Sangdoo Yun (NAVER CLOVA AI Lab), Hwanjun Song (NAVER CLOVA AI Lab), Joonhyun Jeong (NAVER Clova), Jung-Woo Ha (NAVER CLOVA AI Lab), Hyun Oh Song (SNU). Information-Intensive Dataset Condensation. ICML 2022.
Duhyeon Bang (SKT), Kyungjune Baek (Yonsei Univ.), Jiwoo Kim (Sungkyunkwan Univ.), Yunho Jeon (MOFL), Jin-Hwa Kim (NAVER CLOVA AI Lab), Jiwon Kim (SKT), Jongwuk Lee (Sungkyunkwan Univ.), Hyunjung Shim (Yonsei Univ.). Logit Mixing Training for More Reliable and Accurate Prediction. IJCAI 2022.
Sruthi Viswanathan (NAVER LABS Europe), Fabien Guillot (NAVER LABS Europe), Minsuk Chang (NAVER CLOVA AI Lab), Antonietta Maria Grasso (NAVER LABS Europe), Jean-Michel Renders (NAVER LABS Europe). Addressing Hiccups in Conversations with Recommender Systems. DIS 2022.
Hwa-Yeon Kim (NAVER CLOVA), Jong-Hwan Kim (NAVER CLOVA), Jae-Min Kim (NAVER CLOVA). Fast Bilingual Grapheme-To-Phoneme Conversion. NAACL 2022 (Industrial Session)
Hwanhee Lee (SNU), Kang Min Yoo (NAVER CLOVA AI Lab), Joonsuk Park (NAVER CLOVA AI Lab), Hwaran Lee† (NAVER CLOVA AI Lab), Kyomin Jung† (SNU). Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking. Findings in NAACL 2022.
Jungsoo Park* (NAVER CLOVA), Gyuwan Kim* (UCSB, NAVER CLOVA AI Lab), Jaewoo Kang (Korea Univ.). Consistency Training with Virtual Adversarial Discrete Perturbation. NAACL 2022.
Sanghwan Bae (NAVER CLOVA), Donghyun Kwak (NAVER CLOVA), Sungdong Kim (NAVER CLOVA AI Lab), Donghoon Ham (NAVER CLOVA), Soyoung Kang (NAVER CLOVA), Sang-Woo Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA). Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models. NAACL 2022.
Seongjin Shin* (NAVER CLOVA), Sang-Woo Lee* (NAVER CLOVA), Hwijeen Ahn (NAVER CLOVA), Sungdong Kim (NAVER CLOVA AI Lab), HyoungSeok Kim (NAVER CLOVA), Boseop Kim (NAVER CLOVA), Kyunghyun Cho (NYU), Gichang Lee (NAVER CLOVA), Woomyoung Park (NAVER CLOVA), Jung-Woo Ha (NAVER CLOVA AI Lab), Nako Sung (NAVER CLOVA). On the Effect of Pretraining Corpora on In-context Few-shot Learning by a Large-scale Language Model. NAACL 2022.
Kyungjae Lee (Yonsei Univ.), Wookje Han (SNU), Seung-won Hwang (SNU), Hwaran Lee (NAVER AI Lab), Joonsuk Park (NAVER AI Lab), Sang-Woo Lee (NAVER CLOVA). Plug-and-Play Adaptation for Continuously-updated QA. Findings in ACL 2022.
Yeon Seonwoo (KAIST), Juhee Son (KAIST), Jiho Jin (KAIST), Sang-Woo Lee (NAVER CLOVA), Ji-Hoon Kim (NAVER CLOVA), Jung-Woo Ha (NAVER AI Lab), Alice Oh (KAIST). Two-Step Question Retrieval for Open-Domain QA. Findings in ACL 2022.
Seulki Park (SNU & NAVER AI Lab intern) , Youngkyu Hong (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab), Jin Young Choi (SNU). The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR 2022.
Dahyun Kim (GIST & NAVER AI Lab intern), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab). Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning. CVPR 2022.
Jongin Lim (SNU), Sangdoo Yun ( NAVER AI LAB ), Seulki Park (SNU & NAVER AI Lab intern) , Jin Young Choi (SNU). Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR 2022.
Jungin Park (Yonsei Univ.), Jiyoung Lee (NAVER AI Lab), Ig-Jae Kim (KIST), Kwanghoon Sohn (Yonsei Univ.). Probabilistic Representations for Video Contrastive Learning. CVPR 2022.
Kanghyun Choi (Yonsei Univ.),Hye Yoon Lee (Yonsei Univ.), Deokki Hong (Yonsei Univ.),Joonsang Yu (NAVER CLOVA),Noseong Park (Yonsei Univ.), Youngsok Kim (Yonsei Univ.),Jinho Lee (Yonsei Univ.). It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022.
Jihwan Bang (NAVER CLOVA),Hyunseo Koh (GIST & NAVER AI Lab intern),Seulki Park (SNU & NAVER AI Lab intern),Hwanjun Song (NAVER AI Lab),Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (Yonsei U.). Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR 2022.
YeongWoo Nam (GIST & NAVER AI Lab intern), Mohammad Mostafavi (Lunit), Kuk-Jin Yoon (KAIST), Jonghyun Choi (Yonsei Univ. & NAVER AI Lab). Stereo Depth from Events Cameras: Concentrate and Focus on the Future. CVPR 2022.
Jisoo Mok (SNU & NAVER AI Lab intern), Byunggook Na (SNU), Ji-Hoon Kim (NAVER CLOVA), Dongyoon Han (NAVER AI Lab), Sungroh Yoon (SNU). Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?. CVPR 2022.
Jin Kim(Yonsei Univ.), Jiyoung Lee (NAVER AI Lab), JungIn Park (Yonsei Univ.), Dongbo Min (Ewha Univ.), Kwanghoon Sohn (Yonsei Univ.). Pin the Memory: Learning to Generalize Semantic Segmentation. CVPR 2022.
Somi Jeong (NAVER LABS), Jiyoung Lee (NAVER AI Lab), Kwanghoon Sohn (Yonsei University). Multi-Domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution. ICASSP 2022.
Doyeon Kim (Yonsei U.), Hyewon Han (Yonsei U.), Hyeon-Kyeong Shin (Yonsei U., NAVER CLOVA), Soo-Whan Chung (NAVER CLOVA), Hong-Goo Kang (Yonsei U.). Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement. ICASSP 2022.
Namuk Park (Yonsei Univ. & NAVER CLOVA AI Lab) Songkuk Kim (Yonsei Univ.). How Do Vision Transformers Work? ICLR 2022.
John Joon Young Chung (NAVER AI Lab), Wooseok Kim, Kang Min Yoo (NAVER AI Lab), Hwaran Lee (NAVER AI Lab), Eytan Adar (Univ. of Michigan), Minsuk Chang (NAVER AI Lab). TaleBrush: Sketching Stories with Generative Pretrained Language Models. CHI 2022.
Hee-Seung Moon (NAVER AI Lab), Seungwon Do (ETRI), Wonjae Kim (NAVER AI Lab), Jiwon Seo (Yonsei Univ.), Minsuk Chang (NAVER AI Lab), Byoungjoo Lee (Yonsei Univ.). Speeding Up Inference with User Simulators through Policy Modulation. CHI 2022.
SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data. IUI 2022.
Doyoung Kim (KAIST, NAVER AI Lab Intern), Hyangsuk Min (KAIST), Youngeun Nam (KAIST), Hwanjun Song (NAVER AI Lab), Susik Yoon (KAIST), Minseok Kim (KAIST), Jae-Gil Lee (KAIST). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI 2022.
2021
Hyeonjin Park (Korea Univ.), Seunghun Lee (Korea Univ.), Sihyeon Kim (Korea Univ.), Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim (Korea Univ.). Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021.
Dongmin Park (KAIST), Hwanjun Song, MinSeok Kim (KAIST), Jae-Gil Lee (KAIST) Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS 2021.
Jinhee Lee (KAIST)*, Haeri Kim (KAIST)*, Youngkyu Hong* , Hye Won Chung (KAIST) Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Network. NeurIPS 2021.
Youngkyu Hong, Eunho Yang (KAIST). Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning. NeurIPS 2021.
Hiun Kim, Jisu Jeong, Kyung-Min Kim, Dongjun Lee (LBox), Hyun Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim. Intent-based Product Collections for E-commerce using Pretrained Language Models. IEEE International Workshop on Data Mining for Service (DMS2021).
Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak. Global-Local Item Embedding for Temporal Set Prediction. RecSys 2021 (LBR).
Minsong Ki (Yonsei U.), Youngjung Uh (Yonsei U.), Junsuk Choe, Hyeran Byun (Yonsei U.). Contrastive Attention Maps for Self-supervised Co-localization. ICCV 2021.
Jihyuk Kim, Young-In Song and Seung-won Hwang, Web Document Encoding for Structure-Aware Keyphrase Extraction, SIGIR 2021 (short)
Jaesong Lee, Jingu Kang, Shinji Watanabe (CMU). Layer Pruning on Demand with Intermediate CTC. Interspeech 2021.
Huu-Kim Nguyen (Yonsei Univ.), Kihyuk Jeong (Yonsei Univ.), Seyun Um (Yonsei Univ.), Min-Jae Hwang, Eunwoo Song, Hong-Goo Kang (Yonsei Univ.). LiteTTS: A Decoder-free Lightweight Text-to-wave Synthesis Based on Generative Adversarial Networks. Interspeech 2021.
Eunbi Choi, Hwayeon Kim, Jonghwan Kim, Jae-Min Kim. Label Embedding for Chinese Grapheme-to-Phoneme Conversion. Interspeech 2021.
Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. High-fidelity Parallel WaveGAN with Multi-band Harmonic-plus-Noise Model. Interspeech 2021.
Lukas Lee, Youna Ji, Minjae Lee, Min-Seok Choi. DEMUCS-Mobile : On-device lightweight speech enhancemen. Interspeech 2021.
You Jin Kim, Hee-Soo Heo, So Yeon Choe, Soo-Whan Chung, Yoohwan Kwon, Bong-Jin Lee, Youngki Kwon, Joon Son Chung. Look Who’s Talking: Active Speaker Detection in the Wild. Interspeech 2021.
Yeon Seonwoo (KAIST), Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Weakly Supervised Pre-Training for Multi-Hop Retriever. Findings in ACL 2021.
Taeuk Kim, Kang Min Yoo, Sang-goo Lee (SNU). Self-Guided Contrastive Learning for BERT Sentence Representations. ACL 2021.
Anna Offenwanger (U of British Columbia), Alan John Milligan (University of British Columbia), Minsuk Chang (Naver AI Lab & KAIST), Julia Bullard (U of British Columbia), Dongwook Yoon (U of British Columbia). Diagnosing Bias in the Gender Representation of HCI Research Participants: How it Happens and Where We Are?. CHI 2021
Minsuk Chang (Naver AI Lab & KAIST), Mina Huh (KAIST), Juho Kim (KAIST). RubySlippers: Supporting Content-based Voice Navigation for How-to Videos. CHI 2021.
Yoonjoo Lee (KAIST), John Joon Young Chung(U of Michigan), Jean Y Song (KAIST), Minsuk Chang (Naver AI Lab & KAIST), Juho Kim (KAIST). Personalizing Ambience and Illusionary Presence: How People Use “Study with Me” Videos to Create Effective Studying Environments. CHI 2021.
Seungwon Do (ETRI), Minsuk Chang (Naver AI Lab & KAIST), Byungjoo Lee (KAIST). A Simulation Model of Intermittently Controlled Point-and-Click Behavior. CHI 2021.
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak. Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. AAAI 2021.
2020
Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha. Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CUI 2020.
Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park. A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting. PMLR (in press), ICBINB@NeurIPS 2020.
Dasol Hwang (Korea Univ), Jinyoung Park (Korea Univ), Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim (Korea Univ). Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS 2020.
Hojae Han, Seung-won Hwang, Young-In Song, and Siyeon Kim, "Training Data Optimization for Pairwise Learning to Rank", ICTIR 2020
Jae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-sik Choi, and Jongwuk Lee, "Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision", CIKM 2020
Jingun Kwon, Hidetaka Kamigaito, Young-In Song, and Manabu Okumura, Hierarchical Trivia Fact Extraction from Wikipedia Articles, COLING 2020.
Sungrae Park, Geewook Kim, Junyeop Lee, Junbum Cha, Ji-Hoon Kim, Hwalsuk Lee. Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. COLING 2020.
J. J. Whang, Y. Jung, S. Kang, D. Yoo, and I. S. Dhillon, , Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection, Companion Proceedings of the Web Conference (WWW) Workshop on CyberSafety: Computational Methods in Online Misbehavior, 2020.
Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho. div2vec: Diversity-Emphasized Node Embedding. Workshop on the Impact of Recommender Systems, RecSys 2020.
Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, Sunyoung Kwon. Multi-Manifold Learning for Large-scale Targeted Advertising System. AD@KDD 2020.
Young-Jin Park, Kyuyong Shin, Kyung-Min Kim. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments. MLG@KDD 2020.
Gyuwan Kim, Tae-Hwan Jung. Large Product Key Memory for Pretrained Language Models. Findings in EMNLP 2020.
Kang Min Yoo, Hanbit Lee (Seoul National University), Franck Dernoncourt (Adobe), Trung Bui (Adobe), Walter Chang (Adobe), Sang-goo Lee (Seoul National University). Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation. EMNLP 2020.
Yeon Seonwoo (KAIST), Ji-Hoon Kim, Jung-Woo Ha, Alice Oh (KAIST). Context-Aware Answer Extraction in Question Answering. EMNLP 2020.
Jisung Wang, Jihwan Kim (VUNO), Sangki Kim (VUNO), Yeha Lee (VUNO). Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition. Interspeech 2020.
Teakgyu Hong, Oh-Woog Kwon(ETRI) Institute), Young-Kil Kim (ETRI). End-to-End Task-oriented Dialog System through Template Slot Value Generation. Interspeech 2020.
Won Ik Cho(Seoul National University), Donghyun Kwak, Jiwon Yoon (Seoul National University), Nam Soo Kim (Seoul National University). Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation. Interspeech 2020.
Eunwoo Song, Min-Jae Hwang, Ryuichi Yamamoto, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim. Neural Text-to-Speech with a Modeling-by-Generation Excitation Vocoder. Interspeech 2020.
Triantafyllos Afouras (University of Oxford), Joon Son Chung, Andrew Zisserman(University of Oxford). Now you're speaking my language: Visual language identification. Interspeech 2020.
Soo-Whan Chung, Hong-Goo Kang (Yonsei University) , Joon Son Chung. Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision. Interspeech 2020.
Joon Son Chung, Jaesung Huh, Arsha Nagrani (University of Oxford), Triantafyllos Afouras (University of Oxford), Andrew Zisserman(University of Oxford). Spot the conversation: speaker diarisation in the wild. Interspeech 2020.
Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang (Yonsei University). FaceFilter: Audio-visual speech separation using still images. Interspeech 2020.
Hye-jin Shim(University of Seoul), Hee-Soo Heo, Jee-weon Jung(University of Seoul), Ha-Jin Yu(University of Seoul). Self-supervised Pre-training with Acoustic Configurations for Replay Spoofing Detection. Interspeech 2020.
Jung-Woo Ha*, Kihyun Nam*, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim. ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. Interspeech 2020.
Joon Son Chung, Jaesung Huh, Seongkyu Mun, Minjae Lee, Hee Soo Heo, Soyeon Choe, Chiheon Ham, Sunghwan Jung, Bong-Jin Lee, Icksang Han. In defence of metric learning for speaker recognition. Interspeech 2020.
Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Sungsoon Lim, Minyoung Jeong, Seongjae Choi, SeungTae Hwang, Eun-Young Park (Seongnam city), Gwang-Ja Ma (Seongnam city), Seok-Joo Han (Seongnam city), Kwang-Seung Cha (Seongnam city), Nako Sung, Jung-Woo Ha. CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. ArXiv. 2020.
Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha. Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. ArXiv. 2020.
Sungdong Kim, Sohee Yang, Gyuwan Kim, Sang-Woo Lee. Efficient Dialogue State Tracking by Selectively Overwriting Memory. ACL 2020.
Jinhyuk Lee, Minjoon Seo, Hanna Hajishirzi (Univ. of Washington), Jaewoo Kang (Korea Univ.). Contextualized Sparse Representations for Real-Time Open-Domain Question Answering. ACL 2020.
Minz Won (Univ. of Pompeu Fabra), Sanghyuk Chun, Oriol Nieto (Pandora), Xavier Serra (Univ. of Pompeu Fabra). Data-Driven Harmonic Filters for Audio Representation Learning. ICASSP 2020.
Seongkyu Mun, Soyeon Choe, Jaesung Huh, Joon Son Chung. The Sound of My Voice: Speaker Representation Loss for Target Voice Separation. ICASSP 2020.
Arsha Nagrani* (Univ. of Oxford), Joon Son Chung*, Samuel Albanie (Univ. of Oxford), Andrew Zisserman (Univ. of Oxford). Disentangled Speech Embeddings Using Cross-modal Self-supervision. ICASSP 2020.
Triantafyllos Afouras (Univ. of Oxford), Joon Son Chung, Andrew Zisserman (Univ. of Oxford). ASR is All You Need: Cross-modal Distillation for Lip Reading. ICASSP 2020.
Hsuan-I Ho, Minho Shim, Dongyoon Wee. Learning From Dances : Pose-invariant Re-identification for Multi-person Tracking. ICASSP 2020.
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. Parallel WaveGAN: A Fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram. ICASSP 2020.
Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto, Frank Soong (MSRA), Hong-Goo Kang (Yonsei Univ). Improving LPCNet-based text-to-speech with linear prediction-structured mixture density network. ICASSP 2020.
Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon. Graphs, Entities, and Step Mixture. GRL+ WS@ICML 2020.
Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon. Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. ArXiv. 2020
Taehoon Kim, Youngjoon Yoo, Jihoon Yang. StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch. ArXiv. 2020
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, Jaejun Yoo. Reliable Fidelity and Diversity Metrics for Generative Models. ICML 2020.
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo (Korea Univ.), Seong Joon Oh. Learning De-biased Representations with Biased Representations. ICML 2020.
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. Rethinking the Truly Unsupervised Image-to-Image Translation. ArXiv. 2020
Jungkyu Lee, Taeryun Won, Kiho Hong. Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network. arXiv. 2020
Samuel Albanie, Gul Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman. BSL-1K: Scaling up co-articulated sign recognition using mouthing cues. ECCV 2020.
Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman. Self-supervised learning of audio-visual objects from video. ECCV 2020.
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee. Few-shot Compositional Font Generation with Dual Memory. ECCV 2020.
Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, JunyeopLee, Daehyun Nam, Hwalsuk Lee. Character Region Attention For Text Spotting. ECCV 2020.
Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee. ReAD: Reciprocal Attention Discriminator for Image-to-Video Re-Identification. ECCV 2020.
Byungsoo Ko*, Geonmo Gu*. Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR 2020.
Jinhyung Kim, Dongyoon Wee, Soonmin Bae, Junmo Kim. Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. CVPR 2020.
Jaejun Yoo*, Namhyuk Ahn, Kyung-Ah Sohn. Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. CVPR 2020.
Junsuk Choe*, Seong Joon Oh*, Seungho Lee (Yonsei Univ.), Sanghyuk Chun, Zeynep Akata (Univ. of Tubingen), Hyunjung Shim (Yonsei Univ.). Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020.
Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-Woo Ha. StarGAN v2: Diverse Image Synthesis for Multiple Domains. CVPR 2020.
Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae. Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. WACV 2020.
Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nicolas Monet (NAVER LABS Europe), Jihwan Bang, Nojun Kwak (Seoul National Univ.). SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020.
Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwang Hee Lee. U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. ICLR 2020.
Geonmo Gu, Byung Soo Ko. Symmetrical synthesis for deep metric learning. AAAI 2020.
Pilhyeon Lee (Yonsei Univ.), Youngjung Uh, Heyran Byun (Yonsei Univ.). Background Suppression Networks for Weakly-supervised Temporal Action Localization. AAAI 2020.
2019
Minz Won, Sanghyuk Chun, Xavier Serra. Toward Interpretable Music Tagging with Self-Attention. arXiv. 2019
Xiaodong Gu, Hongyu Zhang (Univ. of Newcastle), Sunghun Kim. CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. IEEE/ACM ASE 2019. 2019
G. Lee, S. Kang, and J. J. Whang, , Hyperlink Classification via Structured Graph Embedding, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.
Kyung-Min Kim, Donghyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha. Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. Recsys 2019 (LBR). 2019
Minz Won, Sanghyuk Chun, Xavier Serra. Automatic music tagging with Harmonic CNN. ISMIR 2019 (Late break demo). 2019
Gyuwan Kim. Subword Language Model for Query Auto-Completion. EMNLP-IJCNLP 2019.
Fuxiang Chen, Seung-won Hwang (Yonsei Univ.), Jaegul Choo (Korea Univ.), Jung-Woo Ha, Sung Kim. NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP-IJCNLP 2019.
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee. Learning with Limited Data for Multilingual Reading Comprehension. EMNLP 2019.
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi (Univ. of Washington). Mixture Content Selection for Diverse Sequence Generation. EMNLP-IJCNLP 2019.
Daesik Kim, Seonhoon Kim, Nojun Kwak. Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. ACL 2019.
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. arXiv. 2019
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics. 2019
Eunwoo Song, Kyungguen Byun, Hong-Goo Kang. ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems. EUSIPCO 2019. 2019
Ohsung Kwon, Eunwoo Song, Jae-Min Kim,Hong-Goo Kang. Effective Parameter Estimation Methods for an ExcitNet Model in Generative Text-to-Speech Systems. arXiv. 2019
Kyungguen Byun, Eunwoo Song, Jinseob Kim, Jae-Min Kim, Hong-Goo Kang. Excitation-by-SampleRNN Model for Text-to-Speech. ITC-CSCC 2019. 2019
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim. Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation. INTERSPEECH 2019.
Min-Jae Hwang, Hong-Goo Kang. Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment. INTERSPEECH 2019.
Joon Son Chung, Bong-Jin Lee, Icksang Han. Who Said that: Audio-Visual Speaker Diarisation of Real-World Meetings. INTERSPEECH 2019.
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. My Lips are Concealed: Audio-Visual Speech Enhancement through Obstructions. INTERSPEECH 2019.
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi. Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. ACL 2019.
Sung Kyu Moon, Suwon Shon. Domain Mismatch Robust Acoustic Scene Classification Using Channel Information Conversion. ICASSP 2019.
Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang. Perfect Match: Improved Cross-Modal Embeddings for Audio-Visual Synchronisation. ICASSP 2019.
Ohsung Kwon, Inseon Jang (ETRI), ChungHyun Ahn (ETRI), Hong-Goo Kang (Yonsei Univ.). An Effective Style Token Weight Control Technique for End-to-End Emotional Speech Synthesis. IEEE Signal Processing Letters (presented @ ICASSP 2020).
Gayoung Lee, Dohyun Kim (NAVER Webtoon), Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang (NAVER Webtoon). Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH-Asia. 2019
Chae Young Lee, Youngmin Baek, Hwalsuk Lee. TedEval: A Fair Evaluation Metric for Scene Text Detectors. Workshop on Industrial Applications of Document Analysis and Recognition 2019.
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo. CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Classification Robustness and Uncertainty. ICCV 2019 (Oral).
Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee. What is Wrong with Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019 (Oral).
Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byungkyu Kang, Jung-Woo Ha. Photorealistic Style Transfer via Wavelet Transforms. ICCV 2019.
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi. A Comprehensive Overhaul of Feature Distillation. ICCV 2019.
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee. Character Region Awareness for Text Detection. CVPR 2019.
Seunghyun Park, Seung Shin, Bado Lee, Junyeop Lee, Jaeheung Surh, Minjoon Seo, Hwalsuk Lee. CORD: A Consolidated Receipt Dataset for Post-OCR Parsing. Document Intelligence WS@NeurIPS 2019. 2019
YoungJoon Yoo, Dongyoon Han, Sangdoo Yun. EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. arXiv. 2019
Minz Won, Sanghyuk Chun, Xavier Serra. Visualizing and Understanding Self-Attention Based Music Tagging. Machine Learning for Music Discovery Workshop (Contributed Talk)@ICML 2019. 2019
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo. An Empirical Evaluation on Robustness and Uncertainty of Regularization methods Robustness and Uncertainty. Uncertainty & Robustness in Deep Learning Workshop@ICML 2019. 2019
Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim. Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty. ICML 2019.
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim. DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR 2019.
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha. Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. ICLR 2019.
Seong Joon Oh, Andrew C. Gallagher, Kevin P. Murphy, Florian Schroff, Jiyan Pan, Joseph Roth. Modeling Uncertainty with Hedged Instance Embeddings. ICLR 2019.
Jisung Hwang, Younghoon Kim, Sanghyuk Chun, Jaejun Yoo, Ji-Hoon Kim, Dongyoon Han. Where To Be Adversarial Perturbations Added? Investigating and Manipulating Pixel Robustness Using Input Gradients. Debugging Machine Learning Models Workshop@ICLR 2019. 2019
Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon. Adversarial Dropout for Recurrent Neural Networks. AAAI 2019.
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019.
Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi. Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019 (Oral)
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim. Paraphrase Diversification using Counterfactual Debiasing. AAAI 2019.
Jamin Shin, Andrea Madotto, Minjoon Seo, Pascale Fung. End-to-End Question Answering Models for Goal-Oriented Dialog Learning. Workshop on DSTC 2019 (at AAAI). 2019
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon. Dirichlet Variational Autoencoder. arXiv. 2019
~ 2018
Kyung-Min Kim, Seong-Ho Choi (SNU), Jin-Hwa Kim (SKT), Byoung-Tak Zhang (SNU). Multimodal Dual Attention Memory for Video Story Question Answering. ECCV 2018.
Donghoon Lee (SNU), Sangdoo Yun, Sungjoon Choi (SNU), Hwiyeon Yoo (SNU), Ming-Hsuan Yang (Univ. of Merced), Songhwai Oh (SNU). Unsupervised Holistic Image Generation from Key Local Patches. ECCV 2018.
Yunjey Choi, Minje Choi (Korea Univ.), Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo (Korea Univ.). StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018 (Oral). 2018
Jinwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, Nako Sung. CHOPT: Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. arXiv. 2018
Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang. Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. NeurIPS 2018 (Spotlight).
Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi. Neural Speed Reading via Skim-RNN. ICLR 2018.
Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha. Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. arXiv. 2018
Eunwoo Song, Jinseob Kim, Kyungguen Byun, Hong-Goo Kang. Speaker-Adaptive Neural Vocoders for Statistical Parametric Speech Synthesis Systems. arXiv. 2018
Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi. Phrase-Indexed Question Answering: A New Challenge towards Scalable Document Comprehension. EMNLP 2018. 2018
Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim, Hong-Goo Kang. A Unified Framework for the Generation of Glottal Signals in Deep Learning-Based Parametric Speech Synthesis Systems. Interspeech 2018. 2018
Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim, Eunwoo Song. Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. Interspeech 2018. 2018
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. Deep Lip Reading: a Comparison of Models and an Online Application. Interspeech 2018. 2018
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman. The Conversation: Deep Audio Visual Speech Enhancement. Interspeech 2018. 2018
Joon Son Chung, Arsha Nagrani, Andrew Zisserman. VoxCeleb2: Deep Speaker Recognition. Interspeech 2018. 2018
J. J. Whang, Y. Jung, I. S. Dhillon, S. Kang, and J. Lee, Fast Asynchronous Anti-TrustRank for Web Spam Detection, ACM International Conference on Web Search and Data Mining (WSDM) Workshop on MIS2: Misinformation and Misbehavior Mining on the Web, 2018.
Kyoung-Rok Jang, Sung-Hyon Myaeng, and Sang-Bum Kim: Interpretable Word Embedding Contextualization, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. 2018.
Taewon Yoon, Sung-Hyon Myaeng, Hyun-Wook Woo, Seung-Wook Lee, and Sang-Bum Kim: On Temporally Sensitive Word Embeddings for News Information Retrieval, proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, ECIR2018
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam. Representation Learning of Music Using Artist Labels. ISMIR 2018. 2018
Xiaodong Gu, Hongyu Zhang, Sunghun Kim. Deep Code Search. ICSE 2018. 2018
Seunghyun Park, You Jin Kim, Jeong Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha. Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. IEEE BIBE 2018.
Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, Jung-Woo Ha. NSML: Meet the MLaaS Platform with a Real-World Case Study. arXiv. 2018
Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sung Kim. Automatic Music Highlight Extraction Using Convolutional Recurrent Attention Networks. arXiv. 2017
Keunchan Park, Jisoo Lee, Jaeho Choi. Deep Neural Networks for News Recommendations. CIKM 2017. 2017
Hyun-Je Song, A-Yeong Kim, Seong-Bae Park. Translation of Natural Language Query into Keyword Query Using a RNN Encoder-Decoder. SIGIR 2017.
Mami Kawasaki, Inho Kang, Tetsuya Sakai. Ranking Rich Mobile Verticals based on Clicks and Abandonment. CIKM 2017.
Eunwoo Song, Frank K. Soong, Hong-Goo Kang. Perceptual Quality and Modeling Accuracy of Excitation Parameters in DLSTM-Based Speech Synthesis Systems. ASRU 2017. 2017
Chanyoung Park, Kyungduk Kim, Songkuk Kim. Attention-based Dialog Embedding for Dialog Breakdown Detection. DSTC 2017
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jinwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Donghyun Kwak, Jung-Woo Ha, Sung Kim. NSML: A Machine Learning Platform That Enables You to Focus on Your Models. NIPS WS ML Systems 2017. 2017
You Jin Kim, Yun-Geun Lee, Jeong Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha. Highrisk Prediction from Electronic Medical Records via Deep Attention Networks. NIPS WS ML4H 2017. 2017
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang. Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017. 2017
Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim. Dual attention networks for multimodal reasoning and matching. CVPR 2017 (Spot).
Jungyeul Park, Loic Dugast, Jeen-Pyo Hong, Chang-Uk Shin, Jeong-Won Cha. Building a Better Bitext for Structurally Different Languages through Self-Training. Workshop on Curation and Applications of Parallel and Comparable Corpora in IJCNLP 2017. 2017
Jin-Hwa Kim, Kyoung-Woon On, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang. Hadamard product for low-rank bilinear pooling. ICLR 2017. 2017
Last updated
Was this helpful?