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Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Oct 28, 2020
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli

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End-to-End Adversarial Text-to-Speech

Jun 05, 2020
Jeff Donahue, Sander Dieleman, Mikołaj Bińkowski, Erich Elsen, Karen Simonyan

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LOGAN: Latent Optimisation for Generative Adversarial Networks

Dec 02, 2019
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap

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High Fidelity Speech Synthesis with Adversarial Networks

Sep 26, 2019
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan

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Efficient Video Generation on Complex Datasets

Jul 15, 2019
Aidan Clark, Jeff Donahue, Karen Simonyan

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Large Scale Adversarial Representation Learning

Jul 04, 2019
Jeff Donahue, Karen Simonyan

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Large Scale GAN Training for High Fidelity Natural Image Synthesis

Sep 28, 2018
Andrew Brock, Jeff Donahue, Karen Simonyan

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Population Based Training of Neural Networks

Nov 28, 2017
Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu

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Adversarial Feature Learning

Apr 03, 2017
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

* Published as a conference paper at ICLR 2017. Changelog: (v7) Table 2 results improved 1-2% due to averaging predictions over 10 crops at test time, as done in Noroozi & Favaro; Table 3 VOC classification results slightly improved due to minor bugfix. (See v6 changelog for previous versions.) 

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Visual Discovery at Pinterest

Mar 25, 2017
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell

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Visual Search at Pinterest

Mar 08, 2017
Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel

* in Proceedings of the 21th ACM SIGKDD International Conference on Knowledge and Discovery and Data Mining, 2015 

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Context Encoders: Feature Learning by Inpainting

Nov 21, 2016
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

* CVPR 2016 
* New results on ImageNet Generation 

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Data-dependent Initializations of Convolutional Neural Networks

Sep 22, 2016
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

* ICLR 2016 

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Long-term Recurrent Convolutional Networks for Visual Recognition and Description

May 31, 2016
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

* Originally presented at CVPR 2015 (oral). Updated version (accepted as a TPAMI journal article) includes additional results 

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Generating Visual Explanations

Mar 28, 2016
Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

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Sequence to Sequence -- Video to Text

Oct 19, 2015
Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

* ICCV 2015 camera-ready. Includes code, project page and LSMDC challenge results 

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Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Apr 30, 2015
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko

* NAACL-HLT 2015 camera ready 

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LSDA: Large Scale Detection Through Adaptation

Nov 01, 2014
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

* Neural Information Processing Systems (NIPS) 2014 

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Rich feature hierarchies for accurate object detection and semantic segmentation

Oct 22, 2014
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

* Extended version of our CVPR 2014 paper; latest update (v5) includes results using deeper networks (see Appendix G. Changelog) 

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Part-based R-CNNs for Fine-grained Category Detection

Jul 15, 2014
Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

* 16 pages. To appear at European Conference on Computer Vision (ECCV), 2014 

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Caffe: Convolutional Architecture for Fast Feature Embedding

Jun 20, 2014
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

* Tech report for the Caffe software at 

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One-Shot Adaptation of Supervised Deep Convolutional Models

Feb 18, 2014
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

* ICLR Workshop 2014 

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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Oct 06, 2013
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

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Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations

Aug 20, 2013
Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko

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Efficient Learning of Domain-invariant Image Representations

Apr 09, 2013
Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko

* ICLR 2013 

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