ethanjperez / rda
Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Cho
☆35Updated 3 years ago
Alternatives and similar repositories for rda:
Users that are interested in rda are comparing it to the libraries listed below
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated last year
- ☆63Updated 2 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 5 months ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- ☆22Updated 3 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- ☆38Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆169Updated 3 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Pytorch implementation of DiffMask☆55Updated last year
- Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"☆56Updated 4 years ago
- ☆42Updated 3 years ago
- PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"☆41Updated 3 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆57Updated 3 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆52Updated 5 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"☆77Updated 3 years ago
- Evaluating Machines by their Real-World Language Use☆33Updated last year
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer☆39Updated 4 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 3 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
- ☆24Updated 3 years ago
- ☆48Updated last year
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆38Updated 2 years ago
- [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data☆36Updated 2 years ago
- Datasets for compositional learning☆11Updated 6 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆20Updated 4 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 2 years ago