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Chulhee Yun
Chulhee Yun
Assistant Professor, KAIST Kim Jaechul Graduate School of AI
Zweryfikowany adres z kaist.ac.kr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Small nonlinearities in activation functions create bad local minima in neural networks
C Yun, S Sra, A Jadbabaie
ICLR 2019 (arXiv:1802.03487), 2018
104*2018
Global optimality conditions for deep neural networks
C Yun, S Sra, A Jadbabaie
ICLR 2018 (arXiv:1707.02444), 2017
952017
Are Transformers universal approximators of sequence-to-sequence functions?
C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar
ICLR 2020 (arXiv:1912.10077), 2019
772019
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
C Yun, S Sra, A Jadbabaie
NeurIPS 2019 (arXiv:1810.07770), 2019
642019
Minimum width for universal approximation
S Park, C Yun, J Lee, J Shin
ICLR 2021 (arXiv:2006.08859), 2020
382020
A Unifying View on Implicit Bias in Training Linear Neural Networks
C Yun, S Krishnan, H Mobahi
ICLR 2021 (arXiv:2010.02501), 2020
272020
SGD with shuffling: optimal rates without component convexity and large epoch requirements
K Ahn*, C Yun*, S Sra
NeurIPS 2020 (arXiv:2006.06946), 2020
262020
Low-Rank Bottleneck in Multi-head Attention Models
S Bhojanapalli, C Yun, AS Rawat, SJ Reddi, S Kumar
ICML 2020 (arXiv:2002.07028), 2020
232020
Minimax bounds on stochastic batched convex optimization
J Duchi, F Ruan, C Yun
Conference On Learning Theory, 3065-3162, 2018
232018
Connections are Expressive Enough: Universal Approximability of Sparse Transformers
C Yun, YW Chang, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar
NeurIPS 2020 (arXiv:2006.04862), 2020
222020
Are deep ResNets provably better than linear predictors?
C Yun, S Sra, A Jadbabaie
NeurIPS 2019 (arXiv:1907.03922), 2019
122019
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
S Park, J Lee, C Yun, J Shin
COLT 2021 (arXiv:2010.13363), 2020
92020
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
C Yun, S Sra, A Jadbabaie
COLT 2021 (arXiv:2103.07079), 2021
8*2021
Efficiently testing local optimality and escaping saddles for ReLU networks
C Yun, S Sra, A Jadbabaie
ICLR 2019 (arXiv:1809.10858), 2018
72018
Minibatch vs local SGD with shuffling: Tight convergence bounds and beyond
C Yun, S Rajput, S Sra
ICLR 2022 (arXiv:2110.10342), 2021
42021
Optimization for Deep Learning: Bridging the Theory-Practice Gap
C Yun
Massachusetts Institute of Technology, 2021
2021
Face detection using Local Hybrid Patterns
C Yun, D Lee, CD Yoo
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
2015
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