A Study of Compositional Generalization in Neural Models

A Study of Compositional Generalization in Neural Models

16 June 2020

Matthew D Riemer

Murray Campbell

Papers citing "A Study of Compositional Generalization in Neural Models"

19 / 19 papers shown

Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 265 42,038 0 03 Dec 2019
Compositionality decomposed: how do neural networks generalise? Dieuwke Hupkes Verna Dankers Mathijs Mul Elia Bruni CoGe 96 330 0 22 Aug 2019
Learning by Abstraction: The Neural State Machine Drew A. Hudson Christopher D. Manning NAI OCL 56 259 0 09 Jul 2019
An Explicitly Relational Neural Network Architecture Murray Shanahan Kyriacos Nikiforou Antonia Creswell Christos Kaplanis David Barrett M. Garnelo NAI 3DV GAN 55 69 0 24 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 52 80 0 29 Apr 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision Jiayuan Mao Chuang Gan Pushmeet Kohli J. Tenenbaum Jiajun Wu NAI 96 694 0 26 Apr 2019
Explicit Bias Discovery in Visual Question Answering Models Varun Manjunatha Nirat Saini L. Davis CML FAtt 33 93 0 19 Nov 2018
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks J. Loula Marco Baroni Brenden M. Lake KELM CoGe 39 131 0 19 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 42 68 0 12 Jul 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 59 359 0 11 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 421 3,101 0 04 Jun 2018
Compositional Attention Networks for Machine Reasoning Drew A. Hudson Christopher D. Manning BDL OOD LRM 102 574 0 08 Mar 2018
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 65 242 0 03 Nov 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 110 1,610 0 05 Jun 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 275 2,346 0 20 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Yin and Yang: Balancing and Answering Binary Visual Questions Peng Zhang Yash Goyal D. Summers-Stay Dhruv Batra Devi Parikh CoGe 66 352 0 16 Nov 2015
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 150 5,421 0 03 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014