Alternatives and similar repositories for elsa

Users that are interested in elsa are comparing it to the libraries listed below

• afm-shahab-uddin / SaliencyMix
  SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
  ☆49Updated 3 years ago
• hyperconnect / LADE
  This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 202…
  ☆106Updated 3 years ago
• naver-ai / hmix-gmix
  ☆22Updated 3 years ago
• snu-mllab / PuzzleMix
  Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
  ☆156Updated 4 years ago
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆88Updated 3 years ago
• clovaai / rainbow-memory
  Official pytorch implementation of Rainbow Memory (CVPR 2021)
  ☆126Updated 4 years ago
• naver-ai / cmo
  ☆48Updated 3 years ago
• naver-ai / i-Blurry
  Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR …
  ☆54Updated 3 years ago
• HaohanWang / PAR
  Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power…
  ☆18Updated 6 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 3 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆99Updated 4 years ago
• khanrc / swad
  Official Implementation of SWAD (NeurIPS 2021)
  ☆171Updated 3 years ago
• ydkim1293 / NLNL-Negative-Learning-for-Noisy-Labels
  NLNL: Negative Learning for Noisy Labels
  ☆104Updated 6 years ago
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆80Updated 2 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆94Updated 5 years ago
• dnap512 / SelfReg
  PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
  ☆78Updated 3 years ago
• grayhong / bias-contrastive-learning
  Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)
  ☆37Updated 4 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆29Updated 4 years ago
• johnsk95 / PT4AL
  Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
  ☆57Updated last year
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆41Updated 4 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆105Updated 2 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆56Updated 3 years ago
• alinlab / cs-kd
  Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
  ☆109Updated 5 years ago
• sooonwoo / CL-Baselines
  This is a Pytorch implementation of contrastive Learning(CL) baselines.
  ☆14Updated 3 years ago
• clovaai / rebias
  Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
  ☆175Updated last year
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 4 years ago
• JIA-Lab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆153Updated 4 years ago
• alinlab / M2m
  Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
  ☆95Updated 4 years ago
• bigdata-inha / Split-and-Bridge
  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
  ☆24Updated 5 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago