Jaeho Lee - RankMe

63 papers A* 22A 1B 1Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. IEEE Trans. Neural Networks Learn. Syst. Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon
2025	A	`conf`	S2Cap: A Benchmark and a Baseline for Singing Style Captioning. CIKM Hyunjong Ok, Jaeho Lee
2025	A*	`conf`	ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. ICLR Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee
2025	J	`jnl`	ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. CoRR Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee
2024	J	`jnl`	Attention-Aware Semantic Communications for Collaborative Inference. IEEE Internet Things J. Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim
2024	J	`jnl`	Attention-aware Semantic Communications for Collaborative Inference. CoRR Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim
2024	A*	`conf`	Discovering and Mitigating Visual Biases Through Keyword Explanation. CVPR Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2024	A*	`conf`	Hybrid Neural Representations for Spherical Data. ICML Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn
2024	J	`jnl`	Hybrid Neural Representations for Spherical Data. CoRR Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn
2024	A*	`conf`	In Search of a Data Transformation that Accelerates Neural Field Training. CVPR Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee
2024	A*	`conf`	Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. ICML Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2024	J	`jnl`	Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. CoRR Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2024	A*	`conf`	Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. EMNLP Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee
2024	J	`jnl`	Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. CoRR Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee
2024	A*	`conf`	Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. EMNLP Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee
2024	J	`jnl`	Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. CoRR Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee
2024	—	`conf`	SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. NAACL-HLT Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee
2024	J	`jnl`	SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. CoRR Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee
2024	—	`conf`	The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers. ECCV (67) Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee
2023	J	`jnl`	Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. Trans. Mach. Learn. Res. Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2023	J	`jnl`	Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. CoRR Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon
2023	J	`jnl`	Debiased Distillation by Transplanting the Last Layer. CoRR Jiwoon Lee, Jaeho Lee
2023	J	`jnl`	Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023	J	`jnl`	Explaining Visual Biases as Words by Generating Captions. CoRR Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin
2023	J	`jnl`	In Search of a Data Transformation That Accelerates Neural Field Training. CoRR Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee
2023	A*	`conf`	Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023	J	`jnl`	MaskedKD: Efficient Distillation of Vision Transformers with Masked Images. CoRR Seungwoo Son, Namhoon Lee, Jaeho Lee
2023	A*	`conf`	Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023	J	`jnl`	Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin
2023	—	`conf`	Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation. UniReps Jiwoon Lee, Jaeho Lee
2022	J	`jnl`	Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin
2022	A*	`conf`	Meta-Learning with Self-Improving Momentum Target. NeurIPS Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022	J	`jnl`	Meta-Learning with Self-Improving Momentum Target. CoRR Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022	A*	`conf`	Scalable Neural Video Representations with Learnable Positional Features. NeurIPS Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2022	J	`jnl`	Scalable Neural Video Representations with Learnable Positional Features. CoRR Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2022	A*	`conf`	Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. ICLR Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022	J	`jnl`	Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. CoRR Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin
2022	J	`jnl`	Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR Chaewon Kim, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Co ICCV Hyuntak Cha, Jaeho Lee, Jinwoo Shin
2021	J	`jnl`	Co CoRR Hyuntak Cha, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	A*	`conf`	MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Meta-Learning Sparse Implicit Neural Representations. NeurIPS Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
2021	J	`jnl`	Meta-Learning Sparse Implicit Neural Representations. CoRR Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin
2021	A*	`conf`	Minimum Width for Universal Approximation. ICLR Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Provable Memorization via Deep Neural Networks using Sub-linear Parameters. COLT Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2020	J	`jnl`	A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2020	A*	`conf`	Learning Bounds for Risk-sensitive Learning. NeurIPS Jaeho Lee, Sejun Park, Jinwoo Shin
2020	J	`jnl`	Learning Bounds for Risk-sensitive Learning. CoRR Jaeho Lee, Sejun Park, Jinwoo Shin
2020	A*	`conf`	Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
2020	A*	`conf`	Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	Minimum Width for Universal Approximation. CoRR Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2019	J	`jnl`	Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps. SIAM J. Math. Data Sci. Jaeho Lee, Maxim Raginsky
2019	—	`—`	Robustness and generalization guarantees for statistical learning of generative models Jaeho Lee
2018	J	`jnl`	Learning finite-dimensional coding schemes with nonlinear reconstruction maps. CoRR Jaeho Lee, Maxim Raginsky
2018	A*	`conf`	Minimax Statistical Learning with Wasserstein distances. NeurIPS Jaeho Lee, Maxim Raginsky
2017	J	`jnl`	Minimax Statistical Learning and Domain Adaptation with Wasserstein Distances. CoRR Jaeho Lee, Maxim Raginsky
2015	B	`conf`	On MMSE estimation from quantized observations in the nonasymptotic regime. ISIT Jaeho Lee, Maxim Raginsky, Pierre Moulin
2015	J	`jnl`	On MMSE estimation from quantized observations in the nonasymptotic regime. CoRR Jaeho Lee, Maxim Raginsky, Pierre Moulin