shtoshni / learning-chess-blindfoldedLinks
AAAI 2022 Paper: Bet even Beth Harmon couldn't learn chess like that :)
☆38Updated 4 years ago
Alternatives and similar repositories for learning-chess-blindfolded
Users that are interested in learning-chess-blindfolded are comparing it to the libraries listed below
Sorting:
- ☆41Updated 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
- ☆38Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 3 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- Exploring Few-Shot Adaptation of Language Models with Tables☆24Updated 2 years ago
- ☆64Updated 5 years ago
- ☆14Updated 4 years ago
- A library to create and manage configuration files, especially for machine learning projects.☆79Updated 3 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 3 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- ☆50Updated 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
- Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer☆39Updated 4 years ago
- ☆12Updated 3 years ago
- ☆22Updated 3 years ago
- Code for the paper "Implicit Representations of Meaning in Neural Language Models"☆54Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]☆57Updated 3 years ago
- ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…☆20Updated 3 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆36Updated 4 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- The InterScript dataset contains interactive user feedback on scripts generated by a T5-XXL model.☆11Updated 3 years ago
- Standalone pre-training recipe with JAX+Flax☆32Updated 2 years ago
- Pretraining summarization models using a corpus of nonsense☆13Updated 3 years ago
- Code accompanying ICML 2021 paper "Few-shot Language Coordination by Modeling Theory of Mind"☆19Updated 3 years ago
- ☆97Updated 2 years ago
- ☆50Updated 3 years ago