p3i0t / SimCLR-CIFAR10Links
Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
☆57Updated 5 years ago
Alternatives and similar repositories for SimCLR-CIFAR10
Users that are interested in SimCLR-CIFAR10 are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.☆74Updated 4 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆60Updated 3 years ago
- Build PyTorch CIFAR100 using coarse labels☆38Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 4 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- ☆66Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆141Updated 2 years ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆205Updated last year
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆171Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆48Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 3 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆98Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆61Updated last year
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆96Updated 3 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆31Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆35Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year