tmllab / 2021_NeurIPS_PESLinks
☆30Updated 2 years ago
Alternatives and similar repositories for 2021_NeurIPS_PES
Users that are interested in 2021_NeurIPS_PES are comparing it to the libraries listed below
Sorting:
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆103Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 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
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- ☆31Updated 4 months ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆87Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆62Updated 11 months ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆94Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆55Updated 3 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- This is a public repository for:☆39Updated 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
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆59Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago