Learning to Linearize Under Uncertainty

9 June 2015

Papers citing "Learning to Linearize Under Uncertainty"

40 / 40 papers shown

Title
Video Prediction Models as General Visual Encoders James Maier Nishanth Mohankumar VGen 40 0 0 25 May 2024
Prior based Sampling for Adaptive LiDAR Amit Shomer S. Avidan 3DV 3DPC MDE 42 1 0 14 Apr 2023
A polar prediction model for learning to represent visual transformations P. Fiquet Eero P. Simoncelli 39 4 0 06 Mar 2023
Long Range Object-Level Monocular Depth Estimation for UAVs David Silva Nicolas Jourdan Nils Gählert 11 1 0 17 Feb 2023
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Yi Ma Bruno A. Olshausen Yann LeCun 54 8 0 30 Sep 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Bruno Sauvalle A. de La Fortelle 3DPC 56 12 0 26 May 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 33 44 0 17 Mar 2022
Localization with Sampling-Argmax Jiefeng Li Tong Chen Ruiqi Shi Yujing Lou Yong-Lu Li Cewu Lu 41 19 0 17 Oct 2021
Disentangling Hate in Online Memes Rui Cao Ziqing Fan Roy Ka-wei Lee Wen-Haw Chong Jing Jiang 26 76 0 09 Aug 2021
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 14 66 0 27 Oct 2020
Low Dimensional State Representation Learning with Reward-shaped Priors N. Botteghi Ruben Obbink D. Geijs M. Poel B. Sirmaçek C. Brune A. Mersha Stefano Stramigioli SSL OffRL 17 4 0 29 Jul 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 314 0 07 Feb 2020
Towards Object Detection from Motion Rico Jonschkowski Austin Stone 23 2 0 17 Sep 2019
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation Hyeongmin Lee Taeoh Kim Tae-Young Chung Daehyun Pak Yuseok Ban Sangyoun Lee 30 235 0 24 Jul 2019
Disentangling Factors of Variation Using Few Labels Francesco Locatello Michael Tschannen Stefan Bauer Gunnar Rätsch Bernhard Schölkopf Olivier Bachem DRL CML CoGe 34 123 0 03 May 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction Jielin Qiu Ge Huang T. Lee 24 10 0 25 Jan 2019
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
Unsupervised learning of foreground object detection Ioana Croitoru Simion-Vlad Bogolin Marius Leordeanu OCL 28 48 0 14 Aug 2018
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn Noah Snavely Jonathan Tompson Mohammad Norouzi 3DPC 3DV 26 246 0 05 Jul 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 11 824 0 10 Apr 2018
Context-aware Synthesis for Video Frame Interpolation Simon Niklaus Feng Liu 48 407 0 29 Mar 2018
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network Lichao Mou Xiaoxiang Zhu MDE 33 117 0 28 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 30 319 0 12 Feb 2018
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture Katsunori Ohnishi Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada VGen GAN 45 59 0 27 Nov 2017
Unsupervised state representation learning with robotic priors: a robustness benchmark Timothée Lesort Mathieu Seurin Xinrui Li Natalia Díaz Rodríguez David Filliat SSL DRL 16 32 0 15 Sep 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 22 23 0 07 Aug 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 43 411 0 26 Jul 2017
What Would You Do? Acting by Learning to Predict Adam W. Tow Niko Sünderhauf S. Shirazi Michael Milford Jurgen Leitner LM&Ro 27 6 0 08 Mar 2017
Learning Features by Watching Objects Move Deepak Pathak Ross B. Girshick Piotr Dollár Trevor Darrell Bharath Hariharan SSL VOS OCL 36 522 0 19 Dec 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games Felix Leibfried Nate Kushman Katja Hofmann 46 43 0 21 Nov 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 30 173 0 17 Jun 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter Gabriel Kreiman David D. Cox SSL 52 927 0 25 May 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach Mattis Paulin Julien Mairal Matthijs Douze Zaïd Harchaoui Florent Perronnin Cordelia Schmid SSL 28 65 0 01 Mar 2016
Unsupervised Learning of Visual Structure using Predictive Generative Networks William Lotter Gabriel Kreiman David D. Cox GAN SSL DRL 22 132 0 19 Nov 2015
Predicting distributions with Linearizing Belief Networks Yann N. Dauphin David Grangier 34 18 0 17 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 77 1,878 0 17 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 36 370 0 16 Nov 2015
Slow and steady feature analysis: higher order temporal coherence in video Dinesh Jayaraman Kristen Grauman 26 143 0 15 Jun 2015
Stacked What-Where Auto-encoders Jun Zhao Michaël Mathieu Ross Goroshin Yann LeCun DiffM BDL 24 258 0 08 Jun 2015