Jeff Donahue

According to our database, Jeff Donahue authored at least 34 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Flamingo: a Visual Language Model for Few-Shot Learning.

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan

CoRR, 2022

Flamingo: a Visual Language Model for Few-Shot Learning.

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

End-to-end Adversarial Text-to-Speech.

Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Training Generative Adversarial Networks by Solving Ordinary Differential Equations.

Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High Fidelity Speech Synthesis with Adversarial Networks.

Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

LOGAN: Latent Optimisation for Generative Adversarial Networks.

Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap

CoRR, 2019

Efficient Video Generation on Complex Datasets.

Aidan Clark, Jeff Donahue, Karen Simonyan

CoRR, 2019

Large Scale Adversarial Representation Learning.

Jeff Donahue, Karen Simonyan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Andrew Brock, Jeff Donahue, Karen Simonyan

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Transferrable Representations for Visual Recognition.

Jeffrey Donahue

PhD thesis, 2017

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Population Based Training of Neural Networks.

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

CoRR, 2017

Visual Discovery at Pinterest.

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

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Adversarial Feature Learning.

Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.

Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Data-dependent Initializations of Convolutional Neural Networks.

Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

Proceedings of the 4th International Conference on Learning Representations, 2016

Generating Visual Explanations.

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

Proceedings of the Computer Vision - ECCV 2016, 2016

Context Encoders: Feature Learning by Inpainting.

Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Translating Videos to Natural Language Using Deep Recurrent Neural Networks.

Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Visual Search at Pinterest.

Yushi Jing, David C. Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel

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

Sequence to Sequence - Video to Text.

Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.

Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko

Int. J. Comput. Vis., 2014

One-Shot Adaptation of Supervised Deep Convolutional Models.

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

Proceedings of the 2nd International Conference on Learning Representations, 2014

LSDA: Large Scale Detection Through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

CoRR, 2014

Open-vocabulary Object Retrieval.

Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell

Proceedings of the Robotics: Science and Systems X, 2014

LSDA: Large Scale Detection through Adaptation.

Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.

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

Proceedings of the 31th International Conference on Machine Learning, 2014

Part-Based R-CNNs for Fine-Grained Category Detection.

Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2014, 2014

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Efficient Learning of Domain-invariant Image Representations

Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

Proceedings of the 1st International Conference on Learning Representations, 2013

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

Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko

CoRR, 2013

Semi-supervised Domain Adaptation with Instance Constraints.

Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Annotator rationales for visual recognition.

Jeff Donahue, Kristen Grauman

Proceedings of the IEEE International Conference on Computer Vision, 2011