Modular Networks: Learning to Decompose Neural Computation

13 November 2018

Papers citing "Modular Networks: Learning to Decompose Neural Computation"

26 / 26 papers shown

Title
Switch-Based Multi-Part Neural Network Surajit Majumder Paritosh Ranjan Prodip Roy Bhuban Padhan OOD 79 0 0 25 Apr 2025
Flexible task abstractions emerge in linear networks with fast and bounded units Kai Sandbrink Jan P. Bauer A. Proca Andrew M. Saxe Christopher Summerfield Ali Hummos 63 2 0 17 Jan 2025
Attention as a Hypernetwork Simon Schug Seijin Kobayashi Yassir Akram João Sacramento Razvan Pascanu GNN 37 3 0 09 Jun 2024
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability Ziming Liu Eric Gan Max Tegmark 26 36 0 04 May 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 28 2 0 07 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 32 73 0 22 Feb 2023
Learning Label Modular Prompts for Text Classification in the Wild Hailin Chen Amrita Saha Chenyu You Steven C. H. Hoi OOD VLM 26 5 0 30 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension Ippei Fujisawa Ryota Kanai ELM LRM 28 4 0 14 Nov 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Spot-adaptive Knowledge Distillation Mingli Song Ying Chen Jingwen Ye Mingli Song 25 72 0 05 May 2022
Combining Modular Skills in Multitask Learning Edoardo Ponti Alessandro Sordoni Yoshua Bengio Siva Reddy MoE 12 37 0 28 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 120 42 0 28 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 38 1 0 24 Jan 2022
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 48 4 0 17 Dec 2021
Quantifying Local Specialization in Deep Neural Networks Shlomi Hod Daniel Filan Stephen Casper Andrew Critch Stuart J. Russell 62 10 0 13 Oct 2021
Dynamic Inference with Neural Interpreters Nasim Rahaman Muhammad Waleed Gondal S. Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf 51 31 0 12 Oct 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang Sid Kaushik Sergey Levine Thomas Griffiths 31 8 0 28 Jun 2021
Clusterability in Neural Networks Daniel Filan Stephen Casper Shlomi Hod Cody Wild Andrew Critch Stuart J. Russell GNN 32 30 0 04 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 56 56 0 29 Dec 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 53 88 0 05 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 53 609 0 10 Sep 2020
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 40 78 0 29 Apr 2019
Question Guided Modular Routing Networks for Visual Question Answering Yanze Wu Qiang Sun Jianqi Ma Bin Li Yanwei Fu Yao Peng Xiangyang Xue 23 1 0 17 Apr 2019
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018