fmpr / CrowdLayerLinks
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
☆69Updated 4 years ago
Alternatives and similar repositories for CrowdLayer
Users that are interested in CrowdLayer are comparing it to the libraries listed below
Sorting:
- ☆20Updated 6 years ago
- Meta Label Correction for Noisy Label Learning☆87Updated 3 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews☆31Updated 5 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago
- Uncertainty-aware Self-training☆121Updated last year
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated 2 years ago
- Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch☆57Updated 2 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 5 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 6 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- ☆178Updated last year
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 3 years ago
- ☆63Updated 5 years ago
- ☆18Updated 4 years ago
- ☆51Updated 7 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Distributionally robust neural networks for group shifts☆286Updated 2 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Updated 6 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 6 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆284Updated 2 years ago
- Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)☆42Updated 5 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆344Updated 2 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 5 years ago
- An implementation of the BADGE batch active learning algorithm.☆210Updated last year