Alternatives and similar repositories for VS-Loss:

Users that are interested in VS-Loss are comparing it to the libraries listed below

• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆14Updated 3 years ago
• hongxin001 / open-sampling
  Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets
  ☆15Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆44Updated last year
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆59Updated 3 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆30Updated 3 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• salesforce / RRL
  ☆17Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 3 years ago
• abhinavagarwalla / swav-cifar10
  SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav
  ☆28Updated 3 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆43Updated last year
• Han-Jia / LastShot
  ☆20Updated 2 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 3 years ago
• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆24Updated last year
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆39Updated last year
• moukamisama / F2M
  ☆35Updated 3 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆95Updated 3 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• Wang-ML-Lab / unified-continual-learning
  [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  ☆42Updated 2 months ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 3 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• pclucas14 / AML
  ☆25Updated 3 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• tianyizhou / DIHCL
  Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
  ☆26Updated 4 years ago
• txsing / generalize-unseen-domains-PyTorch
  PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tenso…
  ☆14Updated 4 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆25Updated 4 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago