On the Binding Problem in Artificial Neural Networks

9 December 2020

Klaus Greff

Sjoerd van Steenkiste

Jürgen Schmidhuber

OCL

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Papers citing "On the Binding Problem in Artificial Neural Networks"

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Title
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 72 165 0 30 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 79 210 0 29 May 2019
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 66 58 0 27 May 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor Malvina Nissim Rik van Noord Rob van der Goot FaML 73 103 0 23 May 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 134 698 0 26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 103 202 0 24 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 172 1,121 0 17 Apr 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 92 561 0 20 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 104 509 0 01 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 75 89 0 25 Feb 2019
Measuring Compositionality in Representation Learning Jacob Andreas CoGe 65 149 0 19 Feb 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure Felix Hill Adam Santoro David Barrett Ari S. Morcos Timothy Lillicrap NAI 46 99 0 31 Jan 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 104 334 0 30 Jan 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 87 528 0 22 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 778 8,533 0 03 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 72 129 0 28 Dec 2018
InstaGAN: Instance-aware Image-to-Image Translation Sangwoo Mo Minsu Cho Jinwoo Shin 77 157 0 28 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 103 480 0 05 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 103 2,670 0 29 Nov 2018
Learning to Reason with Third-Order Tensor Products Imanol Schlag Jürgen Schmidhuber NAI 53 64 0 29 Nov 2018
Concept Learning with Energy-Based Models William J. Wilkinson 126 25 0 06 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks J. Loula Marco Baroni Brenden M. Lake KELM CoGe 52 132 0 19 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 87 851 0 17 Jul 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 71 362 0 11 Jul 2018
Universal Transformers Mostafa Dehghani Stephan Gouws Oriol Vinyals Jakob Uszkoreit Lukasz Kaiser 85 753 0 10 Jul 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 70 249 0 21 Jun 2018
Unsupervised Learning of Object Landmarks through Conditional Image Generation Tomas Jakab Ankush Gupta Hakan Bilen Andrea Vedaldi SSL 87 253 0 20 Jun 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 119 211 0 05 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 88 258 0 05 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 208 111 0 04 Jun 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation Shani Gamrian Yoav Goldberg 75 108 0 31 May 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation Anurag Ranjan Varun Jampani Lukas Balles Kihwan Kim Deqing Sun Jonas Wulff Michael J. Black SSL 58 591 0 24 May 2018
State-Denoised Recurrent Neural Networks Michael C. Mozer Denis Kazakov Robert V. Lindsey AI4TS 43 7 0 22 May 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 55 388 0 18 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 79 166 0 06 Apr 2018
Compositional Attention Networks for Machine Reasoning Drew A. Hudson Christopher D. Manning BDL OOD LRM 193 577 0 08 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 206 291 0 28 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 63 120 0 21 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 64 218 0 14 Feb 2018
Recurrent Pixel Embedding for Instance Grouping Shu Kong Charless C. Fowlkes 103 180 0 22 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 143 1,775 0 05 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 74 223 0 01 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 71 250 0 30 Nov 2017
Recurrent Relational Networks Rasmus Berg Palm Ulrich Paquet Ole Winther GNN ReLM NAI 100 139 0 21 Nov 2017
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 289 8,906 0 21 Nov 2017
Towards better understanding of gradient-based attribution methods for Deep Neural Networks Marco Ancona Enea Ceolini Cengiz Öztireli Markus Gross FAtt 68 147 0 16 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 320 887 0 11 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 177 4,596 0 26 Oct 2017