yfzhang114 / AdaNPC
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
☆84Updated 9 months ago
Alternatives and similar repositories for AdaNPC:
Users that are interested in AdaNPC are comparing it to the libraries listed below
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆95Updated 3 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆56Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 9 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆113Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆171Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆109Updated 9 months ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆39Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆51Updated 2 years ago
- The offical implement of ImbSAM (Imbalanced-SAM)☆23Updated 10 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆58Updated 2 years ago
- ☆60Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- A collection of model transferability estimation methods.☆25Updated 3 months ago
- ☆51Updated 9 months ago
- A code framework for implementing UniDA☆24Updated last year
- ☆58Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆66Updated last month
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆26Updated 6 months ago
- ☆32Updated 10 months ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆71Updated last year
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆27Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆130Updated 4 months ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆69Updated last year
- A curated list of awesome Mix☆66Updated 2 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago