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Contrastive Learning with Hard Negative Samples
We consider the question: how can you sample good negative examples for ...
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Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
When machine learning models are deployed on a test distribution differe...
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Debiased Contrastive Learning
A prominent technique for self-supervised representation learning has be...
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The Role of Embedding Complexity in Domain-invariant Representations
Unsupervised domain adaptation aims to generalize the hypothesis trained...
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Learning to Act Properly: Predicting and Explaining Affordances from Images
We address the problem of affordance reasoning in diverse scenes that ap...
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Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner
Impressive image captioning results are achieved in domains with plenty ...
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Leveraging Video Descriptions to Learn Video Question Answering
We propose a scalable approach to learn video-based question answering (...
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Ching-Yao Chuang
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