Here are the publications of EffLers. International conferences , International Journals , Workshops , Preprints , and Domestic conferences .

2023

• Learning Large-Scale Neural Fields via Context-Pruned Meta-Learning Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, and Jonathan Richard Schwarz NeurIPS 2023 [link] (ICLR 2023 Workshop, Neural Fields across Fields: Methods and Applications of Implicit Neural Representations)
• Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling Junhyun Nam, Sangwoo Mo, Jaeho Lee, and Jinwoo Shin TMLR 2023 [link] (ICML 2023 Workshop, Spurious Correlations, Invariance, and Stability)
• Explaining Visual Biases as Words by Generating Captions Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, and Jinwoo Shin ICML 2023 Workshop, Spurious Correlations, Invariance, and Stability [link]
• On the Effectiveness of Sharpness-Aware Minimization with Large Mini-batches Jinseok Chung, Seonghwan Park, Jaeho Lee, and Namhoon Lee ICML 2023 Workshop, High-Dimensional Learning Dynamics
• Communication-Efficient Split Learning via Adaptive Feature-wise Compression Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, and Yo-Seb Jeon Under Review
• Modality-agnostic Variation Compression of Implicit Neural Representations Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, and Jinwoo Shin ICML 2023 [link] (ICLR 2023 Workshop, Neural Fields across Fields: Methods and Applications of Implicit Neural Representations)
• MaskedKD: Efficient Distillation of Vision Transformers with Masked Images Seungwoo Son, Namhoon Lee, and Jaeho Lee ICLR 2023 Workshop, Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency [link] (Bronze Award @ IPIU 2023, under the title “DSP: Distill the Knowledge Only by a Subset of Patches”)
• Prefix Tuning for Automated Audio Captioning Minkyu Kim* and Sungbin Kim* and Tae-Hyun Oh ICASSP 2023
• Debiased Distillation by Transplanting the Last Layer Jiwoon Lee and Jaeho Lee arXiv 2302.11187 [link] (IPIU 2023, under the title “Debiased Distillation through Feature Distillation”)
• An Empirical Study on the Bias of Generative Image Compression Hagyeong Lee and Jaeho Lee IPIU 2023
• Is Sparse Identification Model Sufficiently Biased? Junwon Seo and Jaeho Lee IPIU 2023

2022

• Scalable Neural Video Representations with Learnable Positional Features Subin Kim*, Sihyun Yu*, Jaeho Lee, and Jinwoo Shin NeurIPS 2022 [link]
• Meta-learning with Self-improving Momentum Targets Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, and Jinwoo Shin NeurIPS 2022 [link]
• Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation Junhyun Nam, Jaehyung Kim, Jaeho Lee, and Jinwoo Shin ICLR 2022 [link]
• Zero-shot Blind Image Denoising via Implicit Neural Representations Chaewon Kim, Jaeho Lee, and Jinwoo Shin arXiv 2204.02405 [link]

Pre-EffL (~2021)