v1v2v3v4 (latest)

Domain-Adversarial Training of Neural Networks

28 May 2015

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,643 papers shown

Title
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters Shiyu Huang Deva Ramanan 48 53 0 18 Mar 2017
Steganographic Generative Adversarial Networks Denis Volkhonskiy Ivan Nazarov Evgeny Burnaev GAN 82 214 0 16 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 96 269 0 08 Mar 2017
English Conversational Telephone Speech Recognition by Humans and Machines G. Saon Gakuto Kurata Tom Sercu Kartik Audhkhasi Samuel Thomas ... Bhuvana Ramabhadran M. Picheny L. Lim Bergul Roomi Phil Hall 75 366 0 06 Mar 2017
A Theory of Output-Side Unsupervised Domain Adaptation Tomer Galanti Lior Wolf OOD 53 5 0 05 Mar 2017
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks Connor Schenck Dieter Fox 131 32 0 05 Mar 2017
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation Markus Wulfmeier Alex Bewley Ingmar Posner 71 81 0 04 Mar 2017
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR Yoseob Han J. Yoo J. C. Ye MedIm OOD 184 232 0 03 Mar 2017
Unsupervised Image-to-Image Translation Networks Ming-Yuan Liu Thomas Breuel Jan Kautz VLM 175 2,738 0 02 Mar 2017
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning Hao Chen Yangfu Li Dan Su 37 1 0 01 Mar 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning Werner Zellinger Thomas Grubinger E. Lughofer T. Natschläger Susanne Saminger-Platz OOD 110 581 0 28 Feb 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 127 587 0 27 Feb 2017
An Extended Framework for Marginalized Domain Adaptation G. Csurka Boris Chidlovskii Stéphane Clinchant Sophia Michel 56 5 0 20 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 290 4,684 0 17 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey G. Csurka OOD 104 508 0 17 Feb 2017
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines Eric W. Tramel Marylou Gabrié Andre Manoel F. Caltagirone Florent Krzakala AI4CE 79 33 0 10 Feb 2017
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks Mateusz Koziñski Loïc Simon F. Jurie GAN 72 18 0 08 Feb 2017
Knowledge Adaptation: Teaching to Adapt Sebastian Ruder Parsa Ghaffari J. Breslin CLL TTA 66 53 0 07 Feb 2017
Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation V. Gómez‐Rubio H. Rue 92 71 0 26 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 304 1,548 0 25 Jan 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition Xiaosong Wang Le Lu Hoo-Chang Shin Lauren Kim M. Bagheri Isabella Nogues Jianhua Yao Ronald M. Summers 85 40 0 23 Jan 2017
Stochastic Subsampling for Factorizing Huge Matrices A. Mensch Julien Mairal Bertrand Thirion Gaël Varoquaux 58 30 0 19 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features Forrester Cole David Belanger Dilip Krishnan Aaron Sarna Inbar Mosseri William T. Freeman 3DH CVBM 92 140 0 17 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models M. Veres M. Moussa Graham W. Taylor GAN 72 37 0 11 Jan 2017
Unsupervised Image-to-Image Translation with Generative Adversarial Networks Hao Dong Paarth Neekhara Chao Wu Yike Guo GAN 90 88 0 10 Jan 2017
Heterogeneous domain adaptation: An unsupervised approach Feng Liu Guangquan Zhang Jie Lu 89 127 0 10 Jan 2017
Aspect-augmented Adversarial Networks for Domain Adaptation Yuan Zhang Regina Barzilay Tommi Jaakkola 116 96 0 01 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 185 1,726 0 31 Dec 2016
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks Konstantinos Kamnitsas Christian F. Baumgartner C. Ledig Virginia Newcombe Joanna P. Simpson ... David Menon A. Nori A. Criminisi Daniel Rueckert Ben Glocker OOD MedIm 89 480 0 28 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis N. Silberman David Dohan D. Erhan Dilip Krishnan OOD GAN 167 1,536 0 16 Dec 2016
Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption Jie Liu Martin Takáč ODL 117 4 0 16 Dec 2016
Optimal structure and parameter learning of Ising models A. Lokhov Marc Vuffray Sidhant Misra Michael Chertkov 112 80 0 15 Dec 2016
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 90 459 0 13 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation Judy Hoffman Dequan Wang Feng Yu Trevor Darrell OOD 102 790 0 08 Dec 2016
Robust nonparametric nearest neighbor random process clustering Michael Tschannen Helmut Bölcskei 71 4 0 04 Dec 2016
Inferring Cognitive Models from Data using Approximate Bayesian Computation A. Kangasrääsiö Kumaripaba Athukorala Andrew Howes J. Corander Samuel Kaski Antti Oulasvirta 51 59 0 02 Dec 2016
Distributed Optimization of Multi-Class SVMs Maximilian Alber Julian Zimmert Ürün Dogan Marius Kloft VLM 38 13 0 25 Nov 2016
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors Piotr Koniusz Yusuf Tas Fatih Porikli OOD 80 121 0 24 Nov 2016
A Bayesian optimization approach to find Nash equilibria Victor Picheny M. Binois A. Habbal 79 35 0 08 Nov 2016
Unsupervised Cross-Domain Image Generation Yaniv Taigman Adam Polyak Lior Wolf GAN OOD 93 1,002 0 07 Nov 2016
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Eunhee Kang Junhong Min J. C. Ye OOD MedIm 82 770 0 31 Oct 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb Anirudh Goyal Ying Zhang Saizheng Zhang Aaron Courville Yoshua Bengio GAN 124 597 0 27 Oct 2016
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 161 72 0 23 Oct 2016
Learning to Protect Communications with Adversarial Neural Cryptography Martín Abadi David G. Andersen FedML GAN 87 213 0 21 Oct 2016
Utilization of Deep Reinforcement Learning for saccadic-based object visual search Tomasz Kornuta K. Rocki 23 1 0 20 Oct 2016
BET on Independence Kai Zhang 79 49 0 17 Oct 2016
Recurrent 3D Attentional Networks for End-to-End Active Object Recognition Min Liu Yifei Shi Lintao Zheng Kai Xu Hui Huang Dinesh Manocha 3DPC 45 10 0 14 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 105 534 0 13 Oct 2016
Neural Structural Correspondence Learning for Domain Adaptation Yftah Ziser Roi Reichart DRL 104 107 0 05 Oct 2016
Task Specific Adversarial Cost Function Antonia Creswell Anil A. Bharath AAML GAN 90 13 0 27 Sep 2016