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06/17/2022
SimA: Simple Softmax-free Attention for Vision Transformers
Recently, vision transformers have become very popular. However, deployi...
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06/16/2022
Backdoor Attacks on Vision Transformers
Vision Transformers (ViT) have recently demonstrated exemplary performan...
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01/13/2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
Feature regression is a simple way to distill large neural network model...
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12/08/2021
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
We are interested in representation learning in self-supervised, supervi...
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10/19/2021
Constrained Mean Shift for Representation Learning
We are interested in representation learning from labeled or unlabeled d...
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10/01/2021
Consistent Explanations by Contrastive Learning
Understanding and explaining the decisions of neural networks are critic...
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05/21/2021
Backdoor Attacks on Self-Supervised Learning
Large-scale unlabeled data has allowed recent progress in self-supervise...
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05/15/2021
Mean Shift for Self-Supervised Learning
Most recent self-supervised learning (SSL) algorithms learn features by ...
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12/16/2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Recently, contrastive learning has achieved great results in self-superv...
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10/28/2020
