cyber-meow / PUbiasedN
PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
☆19Updated last year
Alternatives and similar repositories for PUbiasedN:
Users that are interested in PUbiasedN are comparing it to the libraries listed below
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆14Updated last year
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- This repo lists some researches and applications in PU learning.☆13Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"☆10Updated 6 years ago
- Efficient Neural Interaction Functions Search for Collaborative Filtering☆18Updated 5 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆23Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆65Updated 3 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- ☆14Updated 5 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆86Updated 6 months ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 5 years ago
- ☆15Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Language Model Baselines for PyTorch☆42Updated 4 years ago
- ☆17Updated 5 years ago
- Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"☆19Updated 5 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆48Updated 4 years ago
- Code for Positive-Unlabeled learning.☆35Updated 2 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- ☆17Updated 3 years ago
- Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.☆41Updated 5 years ago
- Code for the article "Automatic Temperature Control for Neural Machine Translation" (EMNLP 2018)☆13Updated 5 years ago
- Implementation of SetRank in SIGIR 2020☆50Updated 4 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 5 years ago
- [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