facebookresearch / visual-counterfactuals
Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals
☆30Updated 2 years ago
Alternatives and similar repositories for visual-counterfactuals:
Users that are interested in visual-counterfactuals are comparing it to the libraries listed below
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Recycling diverse models☆44Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated 2 years ago
- ☆58Updated 3 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated last year
- Meta-Album meta-dataset for few-shot image classification☆24Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- LISA for ICML 2022☆48Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- ☆45Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆77Updated 2 years ago
- ☆26Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- ☆95Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- ☆36Updated 2 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆109Updated 2 years ago
- ☆107Updated last year
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- ☆17Updated 2 years ago
- Code for Overinterpretation paper☆19Updated last year