awasthiabhijeet / Learning-From-RulesLinks
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
☆50Updated 2 years ago
Alternatives and similar repositories for Learning-From-Rules
Users that are interested in Learning-From-Rules are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- ☆62Updated 3 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.☆42Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer …☆55Updated 4 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Updated 4 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆53Updated 3 years ago
- The code for the paper "Adversarial Decomposition of Text Representation", NAACL 2019☆29Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Uncertainty-aware Self-training☆121Updated last year
- Interpretable Neural Predictions with Differentiable Binary Variables☆85Updated 4 years ago
- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples☆24Updated 4 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆50Updated 4 years ago
- Probing task; contextual embeddings -> textual definitions (EMNLP19)☆11Updated 4 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 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
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago
- ☆48Updated 5 years ago
- ☆44Updated 6 years ago
- Checking the interpretability of attention on text classification models☆49Updated 6 years ago
- ☆27Updated 2 years ago
- ☆46Updated 5 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆44Updated 5 years ago
- Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.☆43Updated 3 years ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated last year
- Official code for the paper "PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models".☆16Updated 2 years ago
- ☆49Updated 2 years ago
- PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"☆41Updated 4 years ago