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08/02/2023
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes
CLIP, as a foundational vision language model, is widely used in zero-sh...
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06/22/2023
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
Certifiably robust defenses against adversarial patches for image classi...
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08/12/2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Common deep neural networks (DNNs) for image classification have been sh...
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06/28/2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Deep neural networks often exhibit poor performance on data that is unli...
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04/20/2021
Does enhanced shape bias improve neural network robustness to common corruptions?
Convolutional neural networks (CNNs) learn to extract representations of...
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10/04/2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Deep neural networks (DNNs) have been shown to over-fit a dataset when b...
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08/09/2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Deep neural networks achieve state-of-the-art results on several tasks w...
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12/10/2018
