CLOVA & AI Lab @ ICML 2022
Presentation schedule of NAVER CLOVA & AI Lab at ICLM 2022: 5 main track and four workshop papers
Spotlight 10:50
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.
Giung Nam · Hyungi Lee · Byeongho Heo · Juho Lee
Spotlight 11:45
Time Is MattEr: Temporal Self-supervision for Video Transformers.
Sukmin Yun · Jaehyung Kim · Dongyoon Han · Hwanjun Song · Jung-Woo Ha · Jinwoo Shin
Poster 15:30
Time Is MattEr: Temporal Self-supervision for Video Transformers.
Sukmin Yun · Jaehyung Kim · Dongyoon Han · Hwanjun Song · Jung-Woo Ha · Jinwoo Shin
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.
Giung Nam · Hyungi Lee · Byeongho Heo · Juho Lee
Spotlight 07:30
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness.
Namuk Park · Songkuk Kim
Spotlight 08:20
Dataset Condensation via Efficient Synthetic-Data Parameterization.
Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song
Spotlight 08:35
Dataset Condensation with Contrastive Signals.
Saehyung Lee · Sanghyuk Chun · Sangwon Jung · Sangdoo Yun · Sungroh Yoon
Poster 15:00
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness.
Namuk Park · Songkuk Kim
Dataset Condensation via Efficient Synthetic-Data Parameterization.
Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song
Dataset Condensation with Contrastive Signals.
Saehyung Lee · Sanghyuk Chun · Sangwon Jung · Sangdoo Yun · Sungroh Yoon
Workshop on Spurious Correlations, Invariance, and Stability (SCIS)
SelecMix: Debiased Learning by Mixing up Contradicting Pairs.
Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang.
Poster session: 13:30 - 14:50 (Poster ID: #3)
Workshop on ReALML (Adaptive Experimental Design and Active Learning in the Real World)
LG-FAL: Federated Active Learning Strategy using Local and Global Models.
SangMook Kim, SangMin Bae, Se-Young Yun, Hwanjun Song.
Poster session: 15:30pm-17:30pm
Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward (Pre-training)
Generative Self-training Improves Pre-training for Visual Dialog.
Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang.
Poster session: 15:00 - 16:30
Workshop on UpML (Updatable Machine Learning)
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.
Jaehoon Oh*, Sungnyun Kim*, Namgyu Ho*, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun.
Poster session: 17:05pm-19:30pm
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