Recent works on over-parameterized neural networks have shown that the
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Machine learning models have been shown to inherit biases from their tra...
Optimal transport aligns samples across distributions by minimizing the
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Understanding generalization and robustness of machine learning models
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Contrastive learning relies on an assumption that positive pairs contain...
Understanding the generalization of deep neural networks is one of the m...
Training classifiers under fairness constraints such as group fairness,
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We consider the question: how can you sample good negative examples for
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When machine learning models are deployed on a test distribution differe...
A prominent technique for self-supervised representation learning has be...
Unsupervised domain adaptation aims to generalize the hypothesis trained...
We address the problem of affordance reasoning in diverse scenes that ap...
Impressive image captioning results are achieved in domains with plenty ...
We propose a scalable approach to learn video-based question answering (...