liyxi / mnist-mLinks
The MNIST-M dataset for domain adaptation (PyTorch).
☆41Updated 5 years ago
Alternatives and similar repositories for mnist-m
Users that are interested in mnist-m are comparing it to the libraries listed below
Sorting:
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆60Updated 5 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- Memory-Economic Continual Test-Time Model Adaptation☆34Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆39Updated 5 years ago
- ☆70Updated 2 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- ☆19Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆119Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆102Updated 4 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆125Updated 3 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆40Updated last year
- ☆39Updated 5 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆50Updated last year
- ☆28Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- ☆73Updated 3 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆43Updated 2 years ago
- ☆71Updated 6 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆63Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆51Updated 10 months ago
- ☆35Updated 3 years ago