This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization

Training vision models with full-batch gradient descent and regularization

Invariant-feature Subspace Recovery (ISR)

Controlling normalized margin

DDG: This repo contains the code for our IJCAI 2022 paper: Dynamic Domain Generalization.

C-Mixup for NeurIPS 2022

Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022

Recycling diverse models

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transf…

Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets

[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.

Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022

Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning

DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization

Official implementation of the RegMixup paper

Official code for NeurIPS 2022 paper "Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors"

CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021

ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models

Disentangled Sequence to Sequence Learning for Compositional Generalization

LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing

LISA for ICML 2022