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
ACT community resources
[ECCV 2022] Compositional Generation using Diffusion Models
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"
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
Distributional Generalization in NLP. A roadmap.
Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
Multimodal Graph Network (MGN): Code repo, examples from the paper
A list of resources dedicated to compositionality
A Neural Compositional Paradigm for Image Captioning
Codebase for analysing compositional generalisation in NMT models, which allows you to run systematicity, productivity, substitutivity and idiom processing analyses.
Code accompanying the paper Measuring non-trivial compositionality in emergent communication
Code repository for Capacity, Bandwidth, and Compositionality in Emergent Language Learning (AAMAS 2020)
Code and results for experiments of CNNs (fairseq, Gehring et al., ICML, 2017) on SCAN dataset (Lake & Baroni, ICML, 2018)
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
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