yuan-li / truth-inference-at-scale
☆20Updated 5 years ago
Alternatives and similar repositories for truth-inference-at-scale:
Users that are interested in truth-inference-at-scale are comparing it to the libraries listed below
- A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk)…☆68Updated 3 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- Neural Topic Model via Optimal Transport, ICLR 2021☆15Updated 4 years ago
- Crowdsourced datasets including the individual crowd votes.☆39Updated 5 years ago
- This is the framework with 17 existing crowdsourced truth inference algorithms.☆27Updated 7 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- This repo lists some researches and applications in PU learning.☆12Updated 5 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- A comparison of human attention with computational attention mechanisms☆12Updated 4 years ago
- Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews☆30Updated 4 years ago
- ☆16Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 6 months ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Learning From Noisy Singly-labeled Data☆18Updated 7 years ago
- Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.☆42Updated 5 years ago
- ☆50Updated 2 years ago
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Python codes for weakly-supervised learning☆123Updated 5 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆65Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- ☆22Updated 5 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆23Updated 5 years ago
- Code for Positive-Unlabeled learning.☆35Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated last year
- PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition☆10Updated 4 years ago