yuan-li / truth-inference-at-scaleLinks
☆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
Sorting:
- A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk)…☆69Updated 3 years ago
- This is the framework with 17 existing crowdsourced truth inference algorithms.☆28Updated 7 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews☆30Updated 4 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆16Updated 4 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 5 years ago
- Crowdsourced datasets including the individual crowd votes.☆39Updated 5 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆24Updated 5 years ago
- This repo lists some researches and applications in PU learning.☆12Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 5 years ago
- A comparison of human attention with computational attention mechanisms☆12Updated 4 years ago
- Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.☆42Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- ☆51Updated 6 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition☆10Updated 4 years ago
- ☆19Updated 5 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated last year
- AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…☆18Updated 6 years ago
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 4 years 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
- ☆23Updated 4 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago