khetan2 / MBEM

Related projects ⓘ

Alternatives and complementary repositories for MBEM

• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆18Updated 5 years ago
• emalach / UpdateByDisagreement
  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]
  ☆21Updated 7 years ago
• eleniTriantafillou / few_shot_mAP_public
  This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…
  ☆25Updated 6 years ago
• Manuscrit / Area-Under-the-Margin-Ranking
  Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
  ☆21Updated 4 years ago
• dr-darryl-wright / Noisy-Labels-with-Bootstrapping
  Keras implementation of Training Deep Neural Networks on Noisy Labels with Bootstrapping, Reed et al. 2015
  ☆22Updated 3 years ago
• bhanML / coteaching_plus
  ICML'19: How does Disagreement Help Generalization against Label Corruption?
  ☆21Updated 5 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated last year
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 3 years ago
• orlitany / SOSELETO
  pytorch implementation of SOSELETO
  ☆15Updated 5 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 6 years ago
• fuweijie / AER
  scalable active learning by approximated error reduction
  ☆11Updated 4 years ago
• vithursant / SPL-ADVisE
  PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
  ☆20Updated 5 years ago
• takashiishida / pconf
  [NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"
  ☆51Updated 10 months ago
• crashmoon / MAML-Pytorch-Multi-GPUs
  pytorch maml with Multi-GPUs, fast and simplest implementation
  ☆13Updated 3 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated last year
• weihua916 / imsat
  Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"
  ☆79Updated 5 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• aviralkumar2907 / MMCE
  ☆19Updated 6 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 5 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆28Updated 3 years ago
• waitwaitforget / KnowledgeSharing-Pytorch
  Implementations of knowledge distillation and knowledge transfer models in neural networks.
  ☆22Updated 5 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• songhwanjun / ActiveBias
  ☆20Updated 5 years ago
• DaikiTanaka-UT / JointOptimization
  Joint Optimization Framework for Learning with Noisy Labels
  ☆45Updated 6 years ago
• bhanML / Masking
  NeurIPS'18: Masking: A New Perspective of Noisy Supervision
  ☆54Updated 5 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago