Co-occurring keywords · papers mentioning both
Papers
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
L4DC 2026
Relational Object-Centric Actor-Critic
CLeaR 2025
Attention-based Iterative Decomposition for Tensor Product Representation
ICLR 2024
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
ICML 2024
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model
NeurIPS 2024
VerbCLIP: Improving Verb Understanding in Vision-Language Models with Compositional Structures
ACL 2024
Improving Constituent Representation with Hypertree Neural Networks
NAACL 2022
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
EMNLP 2021
Lifelong Learning of Compositional Structures
ICLR 2021
Contrastive Learning of Structured World Models
ICLR 2020
CoSE: Compositional Stroke Embeddings
NeurIPS 2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
AAAI 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
EMNLP 2020
Emergent Language Generalization and Acquisition Speed are not tied to Compositionality
EMNLP 2020
LSTMs Compose—and Learn—Bottom-Up
EMNLP 2020
Normalizing Compositional Structures Across Graphbanks
COLING 2020
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
CVPR 2019
RNNs implicitly implement tensor-product representations
ICLR 2019
Analogs of Linguistic Structure in Deep Representations
EMNLP 2017
Neural Module Networks
CVPR 2016
Probing the Compositionality of Intuitive Functions
NeurIPS 2016