MIFA-Lab / contrastive2021Links
Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743)
☆41Updated 3 years ago
Alternatives and similar repositories for contrastive2021
Users that are interested in contrastive2021 are comparing it to the libraries listed below
Sorting:
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆64Updated 3 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 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
- (Pytorch) Training ResNets on ImageNet-100 data☆64Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆47Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- ☆67Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆195Updated last year
- ☆44Updated 2 months ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆42Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆80Updated 2 years ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆23Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆27Updated 2 years ago
- ☆49Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42Updated 4 years ago
- ☆39Updated last year
- ☆18Updated 4 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆55Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago