mpagli / Agree-to-DisagreeLinks
Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
☆36Updated 2 years ago
Alternatives and similar repositories for Agree-to-Disagree
Users that are interested in Agree-to-Disagree are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- LISA for ICML 2022☆51Updated 2 years ago
- ☆46Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆108Updated last year
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- ☆23Updated 3 years ago
- ☆44Updated 5 months ago
- ☆36Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- ☆31Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- ☆12Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- ☆34Updated 3 months ago
- ☆31Updated 4 months ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- ☆22Updated 3 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago