mourga / contrastive-active-learning
Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"
☆121Updated 2 years ago
Alternatives and similar repositories for contrastive-active-learning:
Users that are interested in contrastive-active-learning are comparing it to the libraries listed below
- Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.☆42Updated 3 years ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 3 years ago
- Code base for the EMNLP 2021 Findings paper: Cartography Active Learning☆14Updated last year
- Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"☆59Updated 2 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)☆71Updated 3 years ago
- Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.☆32Updated last year
- Rationales for Sequential Predictions☆40Updated 2 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆57Updated last year
- LSTM and QRNN Language Model Toolkit for PyTorch 1.2.0!☆21Updated 4 years ago
- ☆30Updated 3 years ago
- ☆24Updated 3 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 4 years ago
- A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …☆79Updated 9 months ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆83Updated last year
- Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"☆25Updated 3 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆30Updated 2 years ago
- ☆47Updated 3 months ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 3 years ago
- Automatic metrics for GEM tasks☆63Updated 2 years ago
- ☆33Updated 3 years ago
- Uncertainty-aware Self-training☆121Updated last year
- ☆29Updated 2 years ago
- The code for lifelong few-shot language learning☆55Updated 2 years ago
- ☆58Updated 2 years ago
- Measuring the Mixing of Contextual Information in the Transformer☆27Updated last year
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 5 months ago
- ☆81Updated 9 months ago
- Code base for paper "Zero-Shot Cross-Lingual Transfer with Meta Learning"☆33Updated 2 months ago