Symmetry-Based Representations for Artificial and Biological General Intelligence

17 March 2022

I. Higgins

S. Racanière

Danilo Jimenez Rezende

AI4CE

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Papers citing "Symmetry-Based Representations for Artificial and Biological General Intelligence"

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Title
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 56 218 0 14 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 59 447 0 14 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 210 1,599 0 05 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 154 903 0 30 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 122 1,040 0 02 Jan 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 317 887 0 11 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 78 523 0 02 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 424 26,481 0 05 Sep 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 104 415 0 26 Jul 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 96 1,504 0 21 Jul 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 72 234 0 14 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 687 131,526 0 12 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 481 14,309 0 02 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 101 1,228 0 16 Nov 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 83 226 0 18 Sep 2016
Contextual Symmetries in Probabilistic Graphical Models Ankit Anand Aditya Grover Mausam Parag Singla 52 13 0 30 Jun 2016
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation Joel Z Leibo Q. Liao W. Freiwald Fabio Anselmi T. Poggio CVBM 40 56 0 05 Jun 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 167 1,934 0 24 Feb 2016
Understanding Visual Concepts with Continuation Learning William F. Whitney Michael Chang Tejas D. Kulkarni J. Tenenbaum DRL GAN 76 55 0 22 Feb 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis Jimei Yang Scott E. Reed Ming-Hsuan Yang Honglak Lee VOT 55 314 0 05 Jan 2016
Bayesian representation learning with oracle constraints Theofanis Karaletsos Serge J. Belongie Gunnar Rätsch BDL 55 92 0 16 Jun 2015
Learning to Linearize Under Uncertainty Ross Goroshin Michaël Mathieu Yann LeCun GAN OOD 86 141 0 09 Jun 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 97 929 0 11 Mar 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 204 1,584 0 09 Mar 2015
Transformation Properties of Learned Visual Representations Taco S. Cohen Max Welling 49 106 0 24 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 69 193 0 20 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013
Unsupervised Learning of Invariant Representations in Hierarchical Architectures Fabio Anselmi Joel Z Leibo Lorenzo Rosasco Jim Mutch Andrea Tacchetti T. Poggio OCL 78 88 0 17 Nov 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 90 104 0 19 Oct 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012