modular network

ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules EMNLP 2024 Model Adaptation for Time Constrained Embodied Control CVPR 2024 mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration CVPR 2024 Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing ICLR 2024 Analyzing Modular Approaches for Visual Question Decomposition EMNLP 2023 Combining Parameter-efficient Modules for Task-level Generalisation EACL 2023 Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023 MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks NeurIPS 2023 On the Compositional Generalization in Versatile Open-domain Dialogue ACL 2023 DEMix Layers: Disentangling Domains for Modular Language Modeling NAACL 2022 ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias ICML 2022 Modular Action Concept Grounding in Semantic Video Prediction CVPR 2022 RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks NeurIPS 2022 Continual Learning via Local Module Composition NeurIPS 2021 Dynamic Inference with Neural Interpreters NeurIPS 2021 Efficient Continual Learning with Modular Networks and Task-Driven Priors ICLR 2021 Fast And Slow Learning Of Recurrent Independent Mechanisms ICLR 2021 Modular Networks for Compositional Instruction Following NAACL 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers AISTATS 2021 Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL 2021 Multi-Task Reinforcement Learning with Soft Modularization NeurIPS 2020 Learning Personalized Modular Network Guided by Structured Knowledge CVPR 2019 Recursive Sketches for Modular Deep Learning ICML 2019