Generative Adversarial Transformers
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Updated
Jun 14, 2022 - Python
Generative Adversarial Transformers
A framework for applied category theory in the Julia language
[ECCV 2022] Compositional Generation using Diffusion Models
ACT community resources
[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023
Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
Tensor algebra abstract type interoperability setup
A list of resources dedicated to compositionality
Multimodal Graph Network (MGN): Code repo, examples from the paper
A curated list of Composable AI methods: Building AI system by composing modules.
Tangent bundle, vector space and Submanifold definition
Code accompanying the paper Measuring non-trivial compositionality in emergent communication
Distributional Generalization in NLP. A roadmap.
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
Implementation of the "Learn No to Say Yes Better" paper.
Codebase for analysing compositional generalisation in NMT models, which allows you to run systematicity, productivity, substitutivity and idiom processing analyses.
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