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Jaeho Lee
Jaeho Lee
Verifierad e-postadress på postech.ac.kr - Startsida
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Learning from failure: De-biasing classifier from biased classifier
J Nam, H Cha, SS Ahn, J Lee, J Shin
NeurIPS, 2020
3682020
CoL: Contrastive continual learning
H Cha, J Lee, J Shin
ICCV, 2021
2832021
Minimax statistical learning with Wasserstein distances
J Lee, M Raginsky
NeurIPS, 2018
1962018
Layer-adaptive sparsity for the magnitude-based pruning
J Lee, S Park, S Mo, S Ahn, J Shin
ICLR, 2021
1312021
Minimum width for universal approximation
S Park, C Yun, J Lee, J Shin
ICLR, 2021
1252021
Lookahead: A far-sighted alternative of magnitude-based pruning
S Park*, J Lee*, S Mo, J Shin
ICLR, 2020
1012020
Spread spurious attribute: Improving worst-group accuracy with spurious attribute estimation
J Nam, J Kim, J Lee, J Shin
ICLR, 2022
562022
Learning bounds for risk-sensitive learning
J Lee, S Park, J Shin
NeurIPS, 2020
482020
MASKER: Masked keyword regularization for reliable text classification
SJ Moon, S Mo, K Lee, J Lee, J Shin
AAAI, 2021
332021
Provable memorization via deep neural networks using sub-linear parameters
S Park, J Lee, C Yun, J Shin
COLT, 2021
302021
Meta-Learning sparse implicit neural representations
J Lee*, J Tack*, N Lee, J Shin
NeurIPS, 2021
262021
Scalable neural video representations with learnable positional features
S Kim, S Yu, J Lee, J Shin
NeurIPS, 2022
252022
Discovering and mitigating visual biases through keyword explanation
Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin
CVPR, 2024
23*2024
Modality-agnostic variational compression of implicit neural representations
JR Schwarz, J Tack, YW Teh, J Lee, J Shin
ICML, 2023
142023
Learning finite-dimensional coding schemes with nonlinear reconstruction maps
J Lee, M Raginsky
SIAM Journal on Mathematics of Data Science, 2019
132019
Few-shot unlearning
Y Yoon, J Nam, H Yun, J Lee, D Kim, J Ok
IEEE S&P, 2024
10*2024
Zero-shot blind image denoising via implicit neural representations
C Kim, J Lee, J Shin
arXiv preprint 2204.02405, 2022
102022
Learning large-scale neural fields via context pruned meta-learning
J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
NeurIPS, 2023
7*2023
Meta-learning with self-improving momentum target
J Tack, J Park, H Lee, J Lee, J Shin
NeurIPS, 2022
62022
MaskedKD: Efficient distillation of vision transformers with masked Images
S Son, N Lee, J Lee
arXiv preprint 2302.10494, 2023
42023
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Artiklar 1–20