Multiple paper open-source codes of the Microsoft Research Asia DKI group
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Updated
Nov 10, 2023 - Python
Multiple paper open-source codes of the Microsoft Research Asia DKI group
A curated list of Composable AI methods: Building AI system by composing modules.
Distributional Generalization in NLP. A roadmap.
A compositional generalization suite for world model research
Official pytorch implementation of CVPR2023 paper "Learning Conditional Attributes for Compositional Zero-Shot Learning"
ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)
Diverse Demonstrations Improve In-context Compositional Generalization
Benchmarks for Compose by Focus: Scene Graph-based Atomic Skills
The codebase for Inducing Causal Structure for Interpretable Neural Networks
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)
Baby Abstract Reasoning Corpus (BabyARC) dataset engine, for generating grid-world-based abstract reasoning tasks on a large scale.
[ACL 2023] "Learning to Substitute Span towards Improving Compositional Generalization"
Official implementation of ICLR 2023 paper "A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics"
Iterative Compositional Data Generation for Robot Control
This repository shares the most important sources used for the reasearch paper "More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning" by Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, and Stefan Wermter.
TR-Core (Tabula Rasa Core) — an experimental symbolic R&D platform for compositional generalization and structural OOD reasoning, implemented in pure Python without neural networks. Features explicit Apriori rule induction, evidence tracking, and a compositional synthesis engine (COMPOSE).
Object-Centric Disentangled Mechanisms
Future Robots evaluation: ACG-Bench simulation, multi-arm VLA rollouts, and compositional generalization. Evolving Machines Lab.
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