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 3 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☆86Updated 3 years ago
- Uncertainty-aware Self-training☆121Updated last year
- Resources of domain adaptation papers on sentiment analysis that have used Amazon reviews☆30Updated 4 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 3 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 3 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆70Updated 5 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
- ☆177Updated last year
- ☆51Updated 6 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated 2 years ago
- Distributionally robust neural networks for group shifts☆280Updated 2 years ago
- Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch☆58Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆340Updated last year
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆170Updated 6 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 6 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆515Updated 4 years ago
- Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)☆42Updated 5 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆68Updated 4 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆34Updated 4 years ago
- ☆18Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆205Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 5 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago