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04/04/2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Recently, self-supervised learning (SSL) was shown to be vulnerable to p...
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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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12/27/2021
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
Using natural language as a supervision for training visual recognition ...
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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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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
CompRess: Self-Supervised Learning by Compressing Representations
Self-supervised learning aims to learn good representations with unlabel...
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12/26/2019