Newbeeer / TRM
Learning Representations that Support Robust Transfer of Predictors
☆20Updated 3 years ago
Alternatives and similar repositories for TRM:
Users that are interested in TRM are comparing it to the libraries listed below
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆25Updated 4 years ago
- ☆42Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- ☆30Updated 3 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- ☆16Updated 9 months ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- ☆36Updated 3 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- ☆22Updated 2 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- ☆48Updated 2 years ago
- ☆25Updated 2 years ago
- ☆37Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- ☆23Updated 3 years ago
- LISA for ICML 2022☆47Updated last year
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆44Updated 2 years ago