Generative Adversarial Transformers

A framework for applied category theory in the Julia language

ACT community resources

[ECCV 2022] Compositional Generation using Diffusion Models

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

A curated list of Composable AI methods: Building AI system by composing modules.

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

Distributional Generalization in NLP. A roadmap.

[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration

[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"

Tensor algebra abstract type interoperability setup

Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"

Multimodal Graph Network (MGN): Code repo, examples from the paper

[CVPR' 24] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"

A list of resources dedicated to compositionality

A Neural Compositional Paradigm for Image Captioning

Tool to measure tree-structuredness of the internal algorithm learnt by a transformer

Codebase for analysing compositional generalisation in NMT models, which allows you to run systematicity, productivity, substitutivity and idiom processing analyses.