{"total":19,"rows":[{"id":"2207.13243","title":"Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks","created":"2022-07-27","cited_by_count":129,"area":null},{"id":"2111.07736","title":"Continual Learning via Local Module Composition","created":"2021-11-15","cited_by_count":63,"area":null},{"id":"2404.08978","title":"Incremental Residual Concept Bottleneck Models","created":"2024-04-13","cited_by_count":43,"area":null},{"id":"2309.14118","title":"MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks","created":"2023-09-25","cited_by_count":14,"area":null},{"id":"2203.11815","title":"Clustering units in neural networks: upstream vs downstream information","created":"2022-03-22","cited_by_count":11,"area":null},{"id":"2405.05386","title":"Interpretability Needs a New Paradigm","created":"2024-05-08","cited_by_count":11,"area":null},{"id":"2112.13208","title":"Neural Network Module Decomposition and Recomposition","created":"2021-12-25","cited_by_count":10,"area":null},{"id":"2311.13186","title":"Applications of Spiking Neural Networks in Visual Place Recognition","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2105.01456","title":"Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction","created":"2021-05-04","cited_by_count":5,"area":null},{"id":"2408.12664","title":"Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience","created":"2024-08-22","cited_by_count":5,"area":null},{"id":"2301.13669","title":"Towards interpretable quantum machine learning via single-photon quantum walks","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2404.08964","title":"Understanding Multimodal Deep Neural Networks: A Concept Selection View","created":"2024-04-13","cited_by_count":4,"area":null},{"id":"2310.01154","title":"Modularity in Deep Learning: A Survey","created":"2023-10-02","cited_by_count":3,"area":null},{"id":"2402.10192","title":"Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias","created":"2024-02-15","cited_by_count":2,"area":null},{"id":"2406.06262","title":"Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2310.08803","title":"Advancing Perception in Artificial Intelligence through Principles of Cognitive Science","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2205.06451","title":"Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning","created":"2022-05-13","cited_by_count":0,"area":null},{"id":"2208.02787","title":"Modular Grammatical Evolution for the Generation of Artificial Neural Networks","created":"2022-08-04","cited_by_count":0,"area":null},{"id":"2507.12473","title":"The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis","created":"2025-07-01","cited_by_count":0,"area":null}],"next_cursor":null}