carolinlawrence / gradient-rollbackLinks
Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.
☆21Updated 4 years ago
Alternatives and similar repositories for gradient-rollback
Users that are interested in gradient-rollback are comparing it to the libraries listed below
Sorting:
- ☆50Updated 3 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Conditional Theorem Proving☆53Updated 4 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- ☆14Updated 4 years ago
- ☆62Updated 3 years ago
- ☆70Updated 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
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 3 years ago
- Rationales for Sequential Predictions☆40Updated 3 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆24Updated 2 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆94Updated last year
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 4 years ago
- PyTorch Implementation of NeurIPS 2020 paper "Learning Sparse Prototypes for Text Generation"☆22Updated 4 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated 11 months ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated 2 years ago
- Code for hyperboloid embeddings for knowledge graph entities☆38Updated 2 months ago
- ☆22Updated 3 years ago
- Source code repo for paper "TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation"☆10Updated last year
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"☆41Updated 4 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 3 years ago
- ☆49Updated 2 years ago
- ☆13Updated 2 years ago
- Code for the paper "Implicit Representations of Meaning in Neural Language Models"☆54Updated 2 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- ☆89Updated 3 months ago