joshr17 / IFM
Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
☆47Updated 3 years ago
Alternatives and similar repositories for IFM:
Users that are interested in IFM are comparing it to the libraries listed below
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- ☆34Updated 3 weeks ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- ☆81Updated 8 months ago
- ☆24Updated 4 years ago
- LISA for ICML 2022☆48Updated 2 years ago
- ☆58Updated 3 years ago
- ☆36Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- ☆17Updated 2 years ago
- ☆29Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆38Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- ☆107Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- ☆26Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 11 months ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆41Updated 2 years ago
- ☆29Updated 9 months ago
- ☆45Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆30Updated 3 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated last year