Ching-Yao Chuang | DeepAI

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∙ 06/22/2023

The Inductive Bias of Flatness Regularization for Deep Matrix Factorization

Recent works on over-parameterized neural networks have shown that the s...

0 Khashayar Gatmiry, et al. ∙

∙ 01/31/2023

Debiasing Vision-Language Models via Biased Prompts

Machine learning models have been shown to inherit biases from their tra...

0 Ching-Yao Chuang, et al. ∙

∙ 10/06/2022

InfoOT: Information Maximizing Optimal Transport

Optimal transport aligns samples across distributions by minimizing the ...

5 Ching-Yao Chuang, et al. ∙

∙ 10/04/2022

Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

Understanding generalization and robustness of machine learning models f...

0 Ching-Yao Chuang, et al. ∙

∙ 01/12/2022

Robust Contrastive Learning against Noisy Views

Contrastive learning relies on an assumption that positive pairs contain...

12 Ching-Yao Chuang, et al. ∙

∙ 06/07/2021

Measuring Generalization with Optimal Transport

Understanding the generalization of deep neural networks is one of the m...

0 Ching-Yao Chuang, et al. ∙

∙ 03/11/2021

Fair Mixup: Fairness via Interpolation

Training classifiers under fairness constraints such as group fairness, ...

0 Ching-Yao Chuang, et al. ∙

∙ 10/09/2020

Contrastive Learning with Hard Negative Samples

We consider the question: how can you sample good negative examples for ...

0 Joshua Robinson, et al. ∙

∙ 07/06/2020

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

When machine learning models are deployed on a test distribution differe...

0 Ching-Yao Chuang, et al. ∙

∙ 07/01/2020

Debiased Contrastive Learning

A prominent technique for self-supervised representation learning has be...

0 Ching-Yao Chuang, et al. ∙

∙ 10/13/2019

The Role of Embedding Complexity in Domain-invariant Representations

Unsupervised domain adaptation aims to generalize the hypothesis trained...

0 Ching-Yao Chuang, et al. ∙

∙ 12/20/2017

Learning to Act Properly: Predicting and Explaining Affordances from Images

We address the problem of affordance reasoning in diverse scenes that ap...

0 Ching-Yao Chuang, et al. ∙

∙ 05/02/2017

Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner

Impressive image captioning results are achieved in domains with plenty ...

0 Tseng-Hung Chen, et al. ∙

∙ 11/12/2016

Leveraging Video Descriptions to Learn Video Question Answering

We propose a scalable approach to learn video-based question answering (...

0 Kuo-Hao Zeng, et al. ∙

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