WSNLP / uncertainty_transformersLinks
☆35Updated 3 years ago
Alternatives and similar repositories for uncertainty_transformers
Users that are interested in uncertainty_transformers are comparing it to the libraries listed below
Sorting:
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆87Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- ☆24Updated 3 years ago
- ☆32Updated last year
- 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
- ☆97Updated last year
- ☆11Updated 3 years ago
- Official code repository for Correct-N-Contrast☆22Updated 3 years ago
- ☆86Updated last year
- A framework to train language models to learn invariant representations.☆14Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- [AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.☆12Updated 2 years ago
- ☆157Updated 3 years ago
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- ☆89Updated 3 months ago
- ☆32Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆78Updated 7 months ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆129Updated 9 months ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆102Updated 2 years ago
- Conformal Language Modeling☆32Updated last year
- How certain is your transformer?☆25Updated 4 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated 8 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆215Updated 8 months ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆20Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning☆30Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 2 years ago