thuml / ForkMerge
Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)
☆14Updated 8 months ago
Related projects: ⓘ
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆50Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆74Updated 5 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆49Updated 5 months ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆36Updated 8 months ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆34Updated 9 months ago
- [ICML23] On Pitfalls of Test-Time Adaptation☆100Updated 5 months ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆42Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆38Updated last year
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆52Updated 3 months ago
- ☆56Updated last year
- Co^2L: Contrastive Continual Learning (ICCV2021)☆90Updated 2 years ago
- ☆47Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆103Updated last year
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆42Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆29Updated last year
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆33Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆105Updated 11 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆38Updated last year
- Weakly Supervised Contrastive Learning☆39Updated 2 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆40Updated last year
- C-Mixup for NeurIPS 2022☆62Updated 9 months ago
- ☆30Updated 4 years ago
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆35Updated 9 months ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆93Updated 2 years ago
- ☆27Updated 11 months ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆33Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆24Updated 3 months ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆40Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆156Updated last year