allenai / ViRBLinks
Visual Representation Learning Benchmark for Self-Supervised Models
☆35Updated last year
Alternatives and similar repositories for ViRB
Users that are interested in ViRB are comparing it to the libraries listed below
Sorting:
- ☆35Updated 2 years ago
- ☆85Updated 3 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 4 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 4 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 4 years ago
- ☆46Updated 4 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- ☆67Updated 2 years ago
- ☆57Updated 4 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 4 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 4 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆25Updated 4 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆113Updated 2 years ago
- ☆65Updated 3 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆50Updated 3 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 3 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Updated 4 years ago