cyber-meow / PUbiasedN

Related projects ⓘ

Alternatives and complementary repositories for PUbiasedN

• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆14Updated last year
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆22Updated 5 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 3 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆35Updated 4 years ago
• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆18Updated 5 years ago
• Stomach-ache / PU-Learning
  This repo lists some researches and applications in PU learning.
  ☆13Updated 4 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆87Updated 3 months ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆48Updated last year
• Grayming / ALIL
  Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"
  ☆10Updated 5 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆35Updated 2 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 4 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆65Updated 3 years ago
• LARS-research / S2E
  Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
  ☆21Updated 4 years ago
• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆48Updated 4 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated last year
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• lancopku / SACT
  Code for the article "Automatic Temperature Control for Neural Machine Translation" (EMNLP 2018)
  ☆13Updated 5 years ago
• aonotas / interpretable-adv
  Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
  ☆42Updated 4 years ago
• DFKI-NLP / lrv
  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
  ☆12Updated 3 years ago
• timerstime / SDG4DA
  Selection Distribution Generator for Domain Adaptation
  ☆27Updated 5 years ago
• WenzhengZhang / hard-nce-el
  ☆22Updated 3 years ago
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 5 years ago
• tapilab / emnlp-2020-spurious
  ☆15Updated 3 years ago
• quanmingyao / SIF
  Efficient Neural Interaction Functions Search for Collaborative Filtering
  ☆18Updated 4 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
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆26Updated 6 years ago