Early Visual Concept Learning with Unsupervised Deep Learning

17 June 2016

Papers citing "Early Visual Concept Learning with Unsupervised Deep Learning"

25 / 25 papers shown

Title
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence Serge Dolgikh 46 0 0 31 Dec 2024
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng Kaichun Mo Ruoxi Shi Yanchao Yang Leonidas J. Guibas 29 3 0 25 Dec 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 26 144 0 24 Jul 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 13 1 0 03 Feb 2023
Blackbird's language matrices (BLMs): a new benchmark to investigate disentangled generalisation in neural networks Paola Merlo A. An M. A. Rodriguez 38 9 0 22 May 2022
Machine learning of Kondo physics using variational autoencoders and symbolic regression Cole Miles Matthew R. Carbone Erica J. Sturm D. Lu A. Weichselbaum K. Barros R. Konik 11 8 0 16 Jul 2021
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Affordance Learning for End-to-End Visuomotor Robot Control Aleksi Hämäläinen Karol Arndt Ali Ghadirzadeh Ville Kyrki 38 48 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 29 2 0 10 Mar 2019
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 19 68 0 12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 24 206 0 02 Oct 2018
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia P. Gyawali B. Horácek J. Sapp Linwei Wang 38 3 0 04 Aug 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 27 87 0 04 Jul 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 25 40 0 22 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017
Learning by Association - A versatile semi-supervised training method for neural networks Philip Häusser A. Mordvintsev Daniel Cremers BDL 25 121 0 03 Jun 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 8 21 0 24 May 2017
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders Will Grathwohl Aaron Wilson DRL 26 21 0 14 Dec 2016
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren Renjie Liao R. Urtasun Fabian H. Sinz R. Zemel 35 81 0 14 Nov 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 30 225 0 18 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue Jiajun Wu Katherine Bouman Bill Freeman 43 416 0 09 Jul 2016