Alternatives and similar repositories for pytorch-coteaching

Users that are interested in pytorch-coteaching are comparing it to the libraries listed below

• wzhouad / Contra-OOD
  Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021
  ☆40Updated 4 years ago
• rabeehk / vibert
  Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021
  ☆41Updated 4 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆64Updated 4 years ago
• orionw / Multilingual-Federated-Learning
  Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
  ☆11Updated 3 years ago
• mansheej / data_diet
  ☆109Updated 2 years ago
• BaeHeeSun / NPC
  ☆25Updated last year
• HazyResearch / thanos-code
  Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
  ☆30Updated 3 years ago
• rivercold / BERT-unsupervised-OOD
  Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"
  ☆30Updated 4 years ago
• rabeehk / hyperformer
  ☆158Updated 4 years ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆87Updated 3 years ago
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆86Updated 3 years ago
• SALT-NLP / IDBR
  Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"
  ☆44Updated 2 years ago
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆103Updated 2 years ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆121Updated last year
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆37Updated last year
• chenpf1025 / IDN
  AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
  ☆35Updated 4 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆18Updated 3 years ago
• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated 2 years ago
• eyalbd2 / PADA
  Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".
  ☆51Updated 3 years ago
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆44Updated last year
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 3 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 4 years ago
• schwartz-lab-NLP / papa
  Code for the PAPA paper
  ☆27Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated 2 years ago
• ZixuanKe / CAT
  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  ☆21Updated 3 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆54Updated 4 years ago