bit-ml / date
☆29Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for date
- OOD Generalization and Detection (ACL 2020)☆61Updated 4 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆57Updated 3 years ago
- ☆63Updated 2 years ago
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆190Updated 2 years ago
- ☆204Updated 7 months ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆67Updated 4 years ago
- ☆95Updated 2 years ago
- Implementation of Mixout with PyTorch☆74Updated last year
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 3 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆222Updated last year
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 4 years ago
- Uncertainty-aware Self-training☆121Updated 10 months ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago
- Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)☆35Updated 2 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆120Updated 2 years ago
- Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'☆42Updated 3 years ago
- ☆85Updated last year
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆81Updated last year
- Pytorch implementation of DiffMask☆55Updated last year
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆200Updated 2 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆97Updated 2 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆36Updated 2 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 2 months ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆168Updated 3 years ago
- ☆43Updated 5 years ago
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆59Updated 2 years ago
- ☆63Updated 4 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆30Updated last year
- ☆77Updated 6 months ago
- Code for EMNLP 2021 paper: "Is Everything in Order? A Simple Way to Order Sentences"☆41Updated last year
- An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)☆60Updated 3 years ago