Generative Adversarial Transformers
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Updated
Jun 14, 2022 - Python
Generative Adversarial Transformers
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
[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
NeurIPS 2022 Paper "VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation"
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
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
Implementation of the "Learn No to Say Yes Better" paper.
Tool to measure tree-structuredness of the internal algorithm learnt by a transformer
Code for ICLR 2024 Paper: CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
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 for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.
SVIB: Systematic Visual Imagination Benchmark
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
Implementing a transformer model for the SCAN compositionality tasks.
A PyTorch implementation of ideal word computation.
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