akashkm99 / Interpretable-Attention
Official Code for Towards Transparent and Explainable Attention Models paper (ACL 2020)
☆36Updated 2 years ago
Alternatives and similar repositories for Interpretable-Attention:
Users that are interested in Interpretable-Attention are comparing it to the libraries listed below
- ☆63Updated 2 years ago
- Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers☆20Updated 4 years ago
- Source code for ICLR 2021 paper : Pre-training Text-to-Text Transformers for Concept-Centric Common Sense☆27Updated 3 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)☆30Updated 4 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆54Updated 3 years ago
- Checking the interpretability of attention on text classification models☆48Updated 5 years ago
- Encoder-Agnostic Adaptation for Conditional Language Generation☆79Updated 7 months ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 7 months ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆67Updated 5 years ago
- Hard-Coded Gaussian Attention for Neural Machine Translation☆36Updated last year
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Updated 4 years ago
- Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"☆35Updated 3 years ago
- ☆43Updated 5 years ago
- Selections from ACL 2020☆8Updated 2 years ago
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆27Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 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 the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)☆43Updated 2 years ago
- Pytorch implementation of DiffMask☆55Updated last year
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated last year
- How Contextual are Contextualized Word Representations?☆41Updated 4 years ago
- Repository describing example random control tasks for designing and interpreting neural probes☆32Updated 2 years ago
- OOD Generalization and Detection (ACL 2020)☆60Updated 4 years ago
- ☆49Updated last year
- Domain Adaptation using External Knowledge for Sentiment Analysis☆54Updated last year
- Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…☆30Updated last year
- Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)☆67Updated 4 years ago
- The data and code for NumerSense (EMNLP2020)☆19Updated last year