microsoft / USTLinks
Uncertainty-aware Self-training
☆121Updated last year
Alternatives and similar repositories for UST
Users that are interested in UST are comparing it to the libraries listed below
Sorting:
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 4 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆144Updated 3 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- Code for ACL 2021 paper "Unsupervised Out-of-Domain Detection via Pre-trained Transformers"☆30Updated 3 years ago
- ☆88Updated 2 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆126Updated 3 years ago
- Meta-learning for NLP☆50Updated 4 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- ☆120Updated 5 years ago
- An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)☆61Updated 4 years ago
- Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.☆50Updated 4 years ago
- This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning☆23Updated 2 years ago
- Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation☆35Updated 4 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. ht…☆83Updated 3 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆58Updated 4 years ago
- ☆92Updated 3 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago
- ☆78Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.☆35Updated 3 years ago
- The PyTorch implementation the Smooth Grad [https://arxiv.org/pdf/1706.03825.pdf] and Integrated Gradients [https://arxiv.org/pdf/1703.01…☆46Updated 4 years ago
- ☆60Updated 2 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆30Updated 2 years ago
- ☆82Updated 4 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆168Updated 2 years ago
- ☆117Updated 3 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆133Updated 2 years ago
- Meta learning with BERT as a learner☆108Updated last year
- Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".☆51Updated 3 years ago