Lingkai-Kong / Calibrated-BERT-Fine-TuningLinks
Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
☆35Updated 4 years ago
Alternatives and similar repositories for Calibrated-BERT-Fine-Tuning
Users that are interested in Calibrated-BERT-Fine-Tuning are comparing it to the libraries listed below
Sorting:
- OOD Generalization and Detection (ACL 2020)☆60Updated 5 years ago
- ☆62Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Updated 3 years ago
- Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"☆17Updated 4 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated 2 years ago
- Language Model Baselines for PyTorch☆42Updated 4 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"☆25Updated 3 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- ☆15Updated 4 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 6 years ago
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆32Updated 2 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 5 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated 10 months ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Updated 4 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆101Updated 5 years ago
- ☆27Updated 2 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 4 years ago
- A dataset for realistic evaluation of noisy label methods☆14Updated last year
- Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)☆30Updated 3 years ago
- Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"☆45Updated 2 years ago
- Pytorch implementation of DiffMask☆56Updated 2 years ago
- A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…☆17Updated 3 years ago
- ☆46Updated 5 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs☆57Updated 4 years ago
- ☆63Updated 5 years ago