tmllab / 2021_NeurIPS_PES

Related projects ⓘ

Alternatives and complementary repositories for 2021_NeurIPS_PES

• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆38Updated 2 years ago
• YUE-FAN / CoSSL
  Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…
  ☆51Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆30Updated 3 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 2 years 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
  ☆75Updated 3 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• salesforce / RRL
  ☆16Updated 2 years ago
• salesforce / ensemble-of-averages
  ☆29Updated last year
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆59Updated 2 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆24Updated 4 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆23Updated 4 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆53Updated 2 years ago
• youjiangxu / FaMUS
  ☆29Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆38Updated last year
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 4 years ago
• deeplearning-wisc / react
  Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
  ☆51Updated 2 years ago
• LeeHyuck / ABC
  pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
  ☆36Updated 3 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated last year
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆54Updated last year
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆42Updated 2 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated last year
• ErikEnglesson / GJS
  The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…
  ☆21Updated 2 years ago
• WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
  [AAAI 21] Utilizing meta-learning to correct the noisy labels.
  ☆13Updated 3 years ago
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆62Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆31Updated 3 years ago