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Jaeho Lee 0001
Person information
- affiliation: Pohang University of Science and Technology, POSTECH, Korea
- affiliation (PhD 2019): University of Illinois Urbana-Champaign, Electrical and Computer Engineering, IL, USA
Other persons with the same name
- Jaeho Lee — disambiguation page
- Jaeho Lee 0002 — ORINCON Corporation, San Diego, CA, USA (and 1 more)
- Jaeho Lee 0003
— Duksung Women's University, Department of Software, Seoul, Korea (and 2 more)
- Jaeho Lee 0004
- Jaeho Lee 0005
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2020 – today
- 2024
- [j3]Jiwoong Im
Attention-Aware Semantic Communications for Collaborative Inference. IEEE Internet Things J. 11(22): 37008-37020 (2024) - [c25]Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee:
In Search of a Data Transformation that Accelerates Neural Field Training. CVPR 2024: 4830-4839 - [c24]Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Discovering and Mitigating Visual Biases Through Keyword Explanation. CVPR 2024: 11082-11092 - [c23]Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers. ECCV (67) 2024: 379-396 - [c22]Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee:
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. EMNLP 2024: 1182-1191 - [c21]Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee:
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. EMNLP 2024: 2242-2252 - [c20]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. ICML 2024 - [c19]Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee:
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. ICML 2024 - [c18]Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee:
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. NAACL-HLT 2024: 7725-7737 - [i30]Hyomin Kim, Yunhui Jang, Jaeho Lee, Sungsoo Ahn:
Hybrid Neural Representations for Spherical Data. CoRR abs/2402.05965 (2024) - [i29]Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. CoRR abs/2403.02944 (2024) - [i28]Hyunjong Ok, Taeho Kil, Sukmin Seo, Jaeho Lee:
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities. CoRR abs/2404.01914 (2024) - [i27]Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim:
Attention-aware Semantic Communications for Collaborative Inference. CoRR abs/2404.07217 (2024) - [i26]Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee:
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. CoRR abs/2406.12016 (2024) - [i25]Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee:
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. CoRR abs/2406.15524 (2024) - 2023
- [j2]Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin:
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. ICML 2023: 30342-30364 - [c16]Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Learning Large-scale Neural Fields via Context Pruned Meta-Learning. NeurIPS 2023 - [c15]Jiwoon Lee, Jaeho Lee:
Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation. UniReps 2023: 182-193 - [i24]Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR abs/2301.09479 (2023) - [i23]Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Explaining Visual Biases as Words by Generating Captions. CoRR abs/2301.11104 (2023) - [i22]Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR abs/2302.00617 (2023) - [i21]Seungwoo Son
MaskedKD: Efficient Distillation of Vision Transformers with Masked Images. CoRR abs/2302.10494 (2023) - [i20]Jiwoon Lee, Jaeho Lee:
Debiased Distillation by Transplanting the Last Layer. CoRR abs/2302.11187 (2023) - [i19]Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon:
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. CoRR abs/2307.10805 (2023) - [i18]Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee:
In Search of a Data Transformation That Accelerates Neural Field Training. CoRR abs/2311.17094 (2023) - 2022
- [c14]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. ICLR 2022 - [c13]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. NeurIPS 2022 - [c12]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. NeurIPS 2022 - [i17]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. CoRR abs/2204.02070 (2022) - [i16]Chaewon Kim, Jaeho Lee, Jinwoo Shin:
Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR abs/2204.02405 (2022) - [i15]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. CoRR abs/2210.05185 (2022) - [i14]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. CoRR abs/2210.06823 (2022) - [i13]Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin:
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR abs/2212.02090 (2022) - 2021
- [c11]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI 2021: 13578-13586 - [c10]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. COLT 2021: 3627-3661 - [c9]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. ICCV 2021: 9496-9505 - [c8]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR 2021 - [c7]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. ICLR 2021 - [c6]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. NeurIPS 2021: 11769-11780 - [i12]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. CoRR abs/2106.14413 (2021) - [i11]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. CoRR abs/2110.14678 (2021) - 2020
- [c5]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR 2020 - [c4]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. NeurIPS 2020 - [c3]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS 2020 - [i10]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR abs/2002.04809 (2020) - [i9]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. CoRR abs/2006.08138 (2020) - [i8]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. CoRR abs/2006.08859 (2020) - [i7]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR abs/2007.02561 (2020) - [i6]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR abs/2010.07611 (2020) - [i5]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR abs/2010.13363 (2020) - [i4]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR abs/2012.09392 (2020)
2010 – 2019
- 2019
- [b1]Jaeho Lee:
Robustness and generalization guarantees for statistical learning of generative models. University of Illinois Urbana-Champaign, USA, 2019 - [j1]Jaeho Lee
Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps. SIAM J. Math. Data Sci. 1(3): 617-642 (2019) - 2018
- [c2]Jaeho Lee, Maxim Raginsky:
Minimax Statistical Learning with Wasserstein distances. NeurIPS 2018: 2692-2701 - [i3]Jaeho Lee, Maxim Raginsky:
Learning finite-dimensional coding schemes with nonlinear reconstruction maps. CoRR abs/1812.09658 (2018) - 2017
- [i2]Jaeho Lee, Maxim Raginsky:
Minimax Statistical Learning and Domain Adaptation with Wasserstein Distances. CoRR abs/1705.07815 (2017) - 2015
- [c1]Jaeho Lee, Maxim Raginsky, Pierre Moulin:
On MMSE estimation from quantized observations in the nonasymptotic regime. ISIT 2015: 2924-2928 - [i1]Jaeho Lee, Maxim Raginsky, Pierre Moulin:
On MMSE estimation from quantized observations in the nonasymptotic regime. CoRR abs/1504.06029 (2015)
Coauthor Index
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last updated on 2024-12-10 20:43 CET by the dblp team
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