dodgejesse / show_your_workLinks
☆11Updated 6 years ago
Alternatives and similar repositories for show_your_work
Users that are interested in show_your_work are comparing it to the libraries listed below
Sorting:
- Rationales for Sequential Predictions☆40Updated 3 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated last year
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆34Updated 8 months ago
- Code accompanying our papers on the "Generative Distributional Control" framework☆118Updated 3 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆34Updated 4 years ago
- Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.☆43Updated 4 years ago
- This is a repository for the paper on testing inductive bias with scaled-down RoBERTa models.☆21Updated 4 years ago
- This repository contains code for the paper "Better Estimation of the KL Divergence Between Language Models"☆15Updated 8 months ago
- Codebase for running (conditional) probing experiments☆22Updated 3 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 3 years ago
- Pytorch library for factorized L0-based pruning.☆45Updated 2 years ago
- Code and data for the paper "Disentangling Uncertainty in Machine Translation Evaluation", accepted at EMNLP 2022.☆23Updated 2 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 3 years ago
- No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)☆29Updated 4 years ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆59Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- This code accompanies the paper "Information-Theoretic Probing for Linguistic Structure" published in ACL 2020.☆21Updated 5 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- ☆114Updated 3 years ago
- EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages☆24Updated 5 years ago
- ☆17Updated 5 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆127Updated 3 years ago
- ☆38Updated last year
- Code for "Does syntax need to grow on trees? Sources of inductive bias in sequence to sequence networks"☆24Updated 6 years ago
- ☆22Updated 3 years ago
- ☆20Updated 5 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 3 years ago
- ☆48Updated 5 years ago
- ☆54Updated 2 years ago