Ching-Yao Chuang

According to our database1, Ching-Yao Chuang authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis.
CoRR, 2023

The Inductive Bias of Flatness Regularization for Deep Matrix Factorization.
CoRR, 2023

Debiasing Vision-Language Models via Biased Prompts.
CoRR, 2023

What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InfoOT: Information Maximizing Optimal Transport.
Proceedings of the International Conference on Machine Learning, 2023

2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Contrastive Learning against Noisy Views.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Measuring Generalization with Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning with Hard Negative Samples.
Proceedings of the 9th International Conference on Learning Representations, 2021

Fair Mixup: Fairness via Interpolation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Debiased Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
The Role of Embedding Complexity in Domain-invariant Representations.
CoRR, 2019

2018
Learning to Act Properly: Predicting and Explaining Affordances From Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Leveraging Video Descriptions to Learn Video Question Answering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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