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Ching-Yao Chuang
Ching-Yao Chuang
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Title
Cited by
Cited by
Year
Contrastive learning with hard negative samples
J Robinson, CY Chuang, S Sra, S Jegelka
International Conference on Learning Representations (ICLR) 2021, 2020
6212020
Debiased contrastive learning
CY Chuang, J Robinson, L Yen-Chen, A Torralba, S Jegelka
Advances in Neural Information Processing Systems 33, 2020
5162020
Leveraging video descriptions to learn video question answering
KH Zeng, TH Chen, CY Chuang, YH Liao, JC Niebles, M Sun
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
1872017
Show, adapt and tell: Adversarial training of cross-domain image captioner
TH Chen, YH Liao, CY Chuang, WT Hsu, J Fu, M Sun
Proceedings of the IEEE international conference on computer vision, 521-530, 2017
1692017
Fair Mixup: Fairness via Interpolation
CY Chuang, Y Mroueh
International Conference on Learning Representations (ICLR) 2021, 2021
1202021
Learning to Act Properly: Predicting and Explaining Affordances from Images
CY Chuang, J Li, A Torralba, S Fidler
CVPR, 975-983, 2018
832018
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
CY Chuang, A Torralba, S Jegelka
International Conference on Machine Learning (ICML), 2020
582020
Robust Contrastive Learning against Noisy Views
CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, ...
CVPR 2022, 2022
572022
Debiasing vision-language models via biased prompts
CY Chuang, V Jampani, Y Li, A Torralba, S Jegelka
arXiv preprint arXiv:2302.00070, 2023
352023
Measuring Generalization with Optimal Transport
CY Chuang, Y Mroueh, K Greenewald, A Torralba, S Jegelka
Advances in Neural Information Processing Systems 2021, 2021
232021
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
CY Chuang, S Jegelka
Advances in Neural Information Processing Systems 2022, 2022
162022
InfoOT: Information Maximizing Optimal Transport
CY Chuang, S Jegelka, D Alvarez-Melis
International Conference on Machine Learning (ICML), 2022
112022
The inductive bias of flatness regularization for deep matrix factorization
K Gatmiry, Z Li, CY Chuang, S Reddi, T Ma, S Jegelka
arXiv preprint arXiv:2306.13239, 2023
52023
Fairy: Fast parallelized instruction-guided video-to-video synthesis
B Wu, CY Chuang, X Wang, Y Jia, K Krishnakumar, T Xiao, F Liang, L Yu, ...
arXiv preprint arXiv:2312.13834, 2023
42023
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
K Gatmiry, Z Li, T Ma, S Reddi, S Jegelka, CY Chuang
Advances in Neural Information Processing Systems 36, 2024
12024
The Role of Embedding Complexity in Domain-invariant Representations
CY Chuang, A Torralba, S Jegelka
ICML Adaptive & Multitask Learning Workshop, 2019
12019
Understanding and Estimating the Adaptability of Domain-Invariant Representations
CY Chuang
Massachusetts Institute of Technology, 2021
2021
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Articles 1–17