NeurIPS 2024 Past Other
NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward
Compositional_Learning
- Submission deadline
- Sep 28, 2024, 12:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (41)
Fetched from OpenReview (v2) on 2026-06-10.
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A Linear Network Theory of Iterated Learning
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A Multimodal Chain of Tools for Described Object Detection
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An Integrated Approach to Open-World Compositional Zero-Shot Learning
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Can language model plan in extrapolated environments?: Casestudy in textualized Gridworld
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Can Models Learn Skill Composition from Examples?
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Compositional Communication with LLMs and Reasoning about Chemical Structures
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Compositional Few-shot Learning of Motions
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Compositional Risk Minimization
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Compositional Visual Reasoning with SlotSSMs
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ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
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CoS: Enhancing Personalization with Context Steering
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Crafting Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets
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Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
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Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
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Dynamic Symbolic Representation and LLM to Enhance Task Abstraction in Hierarchical Reinforcement Learning
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Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks
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Evaluating Language Models Planning Capabilities on Goal Ordering Challenges
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Exploring A Bayesian View On Compositional and Counterfactual Generalization
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Faster Slot Decoding using Masked Transformer
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From Text to Pose to Image: Improving Diffusion Model Control and Quality
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Generating Intermediate Representations for Compositional Text-To-Image Generation
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Geometric Signatures of Compositionality in Language Models
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GSR-Bench: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs
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HAMMR : HierArchical MultiModal React agents for generic VQA
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Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
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Latent Concept-based Explanation of NLP Models
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Learning Via Imagination: Controlled Diffusion Image Augmentation
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Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
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OC-CLIP : Object-centric Binding in Contrastive Language-Image Pretraining
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Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
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Provably Learning Concepts by Comparison
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Relational composition during attribute retrieval in GPT is not purely linear
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Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
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Scalable and interpretable quantum natural language processing: an implementation on trapped ions
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Sometimes I am a Tree: Data Drives Fragile Hierarchical Generalization
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Successes and Limitations of Object-centric Models at Compositional Generalisation
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Towards Object-Centric Learning with General Purpose Architectures
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Transformer-based Imagination with Slot Attention
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Transformers Can Learn Meta-skills for Task Generalization in In-Context Learning
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Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics
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Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models