Alternatives and similar repositories for PUbiasedN:

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

• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆14Updated last year
• 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
• Stomach-ache / PU-Learning
  This repo lists some researches and applications in PU learning.
  ☆13Updated 5 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• Grayming / ALIL
  Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"
  ☆10Updated 6 years ago
• quanmingyao / SIF
  Efficient Neural Interaction Functions Search for Collaborative Filtering
  ☆18Updated 5 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆23Updated 5 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆65Updated 3 years ago
• timerstime / SDG4DA
  Selection Distribution Generator for Domain Adaptation
  ☆27Updated 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
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆86Updated 6 months ago
• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆19Updated 5 years ago
• tapilab / aaai-2021-counterfactuals
  ☆15Updated 3 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• ChengyueGongR / advsoft
  Language Model Baselines for PyTorch
  ☆42Updated 4 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• wuliwei9278 / SSE
  Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
  ☆19Updated 5 years ago
• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆48Updated 4 years ago
• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆35Updated 2 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated last year
• tapilab / emnlp-2020-spurious
  ☆17Updated 3 years ago
• aonotas / interpretable-adv
  Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
  ☆41Updated 5 years ago
• lancopku / SACT
  Code for the article "Automatic Temperature Control for Neural Machine Translation" (EMNLP 2018)
  ☆13Updated 5 years ago
• pl8787 / SetRank
  Implementation of SetRank in SIGIR 2020
  ☆50Updated 4 years ago
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 5 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆68Updated 3 years ago