default search action
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [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, Seungeon Kim, Dokwan Oh, Jaeho Lee:
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, Namhoon Lee, Jaeho Lee:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-22 23:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: