Automatically Composing Representation Transformations as a Means for Generalization

12 July 2018

Abhishek Gupta

Papers citing "Automatically Composing Representation Transformations as a Means for Generalization"

20 / 20 papers shown

Title
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 39 2 0 09 Sep 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 52 55 0 10 Oct 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 29 1 0 22 Nov 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 26 27 0 15 Jul 2022
Dynamic Inference with Neural Interpreters Nasim Rahaman Muhammad Waleed Gondal S. Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf 34 31 0 12 Oct 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment Michael Chang Sid Kaushik Sergey Levine Thomas L. Griffiths 18 8 0 28 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 20 95 0 05 Jun 2021
Clusterability in Neural Networks Daniel Filan Stephen Casper Shlomi Hod Cody Wild Andrew Critch Stuart J. Russell GNN 24 30 0 04 Mar 2021
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip H. S. Torr CLL 33 113 0 22 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 21 87 0 05 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas L. Griffiths 17 64 0 29 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 16 608 0 10 Sep 2020
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning Yuhuai Wu Honghua Dong Roger C. Grosse Jimmy Ba CoGe 22 66 0 08 Jul 2020
A Study of Compositional Generalization in Neural Models Tim Klinger D. Adjodah Vincent Marois Joshua Joseph Matthew D Riemer Alex Pentland Murray Campbell CoGe NAI 12 12 0 16 Jun 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip H. S. Torr David Lopez-Paz KELM CLL 14 233 0 19 Feb 2020
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Xiao Wang Marc van Zee Olivier Bousquet CoGe 21 347 0 20 Dec 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 27 78 0 29 Apr 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 40 1,421 0 02 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 299 11,681 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016