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2020 – today
- 2024
[c13]Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda:
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CVPR 2024: 8261-8270- 2023
- [b1]Ching-Yao Chuang:
Robust Learning from Uncurated Data. MIT, USA, 2023 - [c12]Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis:
InfoOT: Information Maximizing Optimal Transport. ICML 2023: 6228-6242 - [c11]Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank J. Reddi, Stefanie Jegelka, Ching-Yao Chuang:
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models. NeurIPS 2023 - [i15]Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. CoRR abs/2302.00070 (2023) - [i14]Khashayar Gatmiry, Zhiyuan Li
, Ching-Yao Chuang, Sashank J. Reddi, Tengyu Ma, Stefanie Jegelka:
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization. CoRR abs/2306.13239 (2023) - [i13]Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda:
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR abs/2312.13834 (2023) - 2022
- [c10]Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CVPR 2022: 16649-16660 - [c9]Ching-Yao Chuang, Stefanie Jegelka:
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks. NeurIPS 2022 - [i12]Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CoRR abs/2201.04309 (2022) - [i11]Ching-Yao Chuang, Stefanie Jegelka:
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks. CoRR abs/2210.01906 (2022) - [i10]Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis:
InfoOT: Information Maximizing Optimal Transport. CoRR abs/2210.03164 (2022) - 2021
- [c8]Ching-Yao Chuang, Youssef Mroueh:
Fair Mixup: Fairness via Interpolation. ICLR 2021 - [c7]Joshua David Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka:
Contrastive Learning with Hard Negative Samples. ICLR 2021 - [c6]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. NeurIPS 2021: 8294-8306 - [i9]Ching-Yao Chuang, Youssef Mroueh:
Fair Mixup: Fairness via Interpolation. CoRR abs/2103.06503 (2021) - [i8]Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. CoRR abs/2106.03314 (2021) - 2020
- [c5]Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. ICML 2020: 1984-1994 - [c4]Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. NeurIPS 2020 - [i7]Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. CoRR abs/2007.00224 (2020) - [i6]Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. CoRR abs/2007.03511 (2020) - [i5]Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka:
Contrastive Learning with Hard Negative Samples. CoRR abs/2010.04592 (2020)
2010 – 2019
- 2019
- [i4]Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
The Role of Embedding Complexity in Domain-invariant Representations. CoRR abs/1910.05804 (2019) - 2018
- [c3]Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances From Images. CVPR 2018: 975-983 - 2017
- [c2]Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. AAAI 2017: 4334-4340 - [c1]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner. ICCV 2017: 521-530 - [i3]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner. CoRR abs/1705.00930 (2017) - [i2]Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances from Images. CoRR abs/1712.07576 (2017) - 2016
- [i1]Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun:
Leveraging Video Descriptions to Learn Video Question Answering. CoRR abs/1611.04021 (2016)
Coauthor Index
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