Annotator rationales for visual recognition. - Jeff Donahue; Kristen Grauman (ICCV, 2011)

Semi-supervised Domain Adaptation with Instance Constraints. - Jeff Donahue; Judy Hoffman; Erik Rodner; Kate Saenko; Trevor Darrell (CVPR, 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)

Efficient Learning of Domain-invariant Image Representations - Judy Hoffman; Erik Rodner; Jeff Donahue; Kate Saenko; Trevor Darrell (ICLR (Poster), 2013)

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. - Ross B. Girshick; Jeff Donahue; Trevor Darrell; Jitendra Malik (CVPR, 2014)

Part-Based R-CNNs for Fine-Grained Category Detection. - Ning Zhang 014; Jeff Donahue; Ross B. Girshick; Trevor Darrell (ECCV (1), 2014)

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. - Jeff Donahue; Yangqing Jia; Oriol Vinyals; Judy Hoffman; Ning Zhang 014; Eric Tzeng; Trevor Darrell (ICML, 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 (ACM Multimedia, 2014)

LSDA: Large Scale Detection through Adaptation. - Judy Hoffman; Sergio Guadarrama; Eric Tzeng; Ronghang Hu; Jeff Donahue; Ross B. Girshick; Trevor Darrell; Kate Saenko (NIPS, 2014)

Open-vocabulary Object Retrieval. - Sergio Guadarrama; Erik Rodner; Kate Saenko; Ning Zhang 014; Ryan Farrell; Jeff Donahue; Trevor Darrell (Robotics: Science and Systems, 2014)

LSDA: Large Scale Detection Through Adaptation. - Judy Hoffman; Sergio Guadarrama; Eric Tzeng; Jeff Donahue; Ross B. Girshick; Trevor Darrell; Kate Saenko (CoRR, 2014)

One-Shot Adaptation of Supervised Deep Convolutional Models. - Judy Hoffman; Eric Tzeng; Jeff Donahue; Yangqing Jia; Kate Saenko; Trevor Darrell (ICLR (Workshop Poster), 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)

Sequence to Sequence - Video to Text. - Subhashini Venugopalan; Marcus Rohrbach; Jeffrey Donahue; Raymond J. Mooney; Trevor Darrell; Kate Saenko (ICCV, 2015)

Visual Search at Pinterest. - Yushi Jing; David C. Liu; Dmitry Kislyuk; Andrew Zhai; Jiajing Xu; Jeff Donahue; Sarah Tavel (KDD, 2015)

Translating Videos to Natural Language Using Deep Recurrent Neural Networks. - Subhashini Venugopalan; Huijuan Xu 001; Jeff Donahue; Marcus Rohrbach; Raymond J. Mooney; Kate Saenko (HLT-NAACL, 2015)

Context Encoders: Feature Learning by Inpainting. - Deepak Pathak; Philipp Krähenbühl; Jeff Donahue; Trevor Darrell; Alexei A. Efros (CVPR, 2016)

Generating Visual Explanations. - Lisa Anne Hendricks; Zeynep Akata; Marcus Rohrbach; Jeff Donahue; Bernt Schiele; Trevor Darrell (ECCV (4), 2016)

Data-dependent Initializations of Convolutional Neural Networks. - Philipp Krähenbühl; Carl Doersch; Jeff Donahue; Trevor Darrell (ICLR (Poster), 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)

Adversarial Feature Learning. - Jeff Donahue; Philipp Krähenbühl; Trevor Darrell (ICLR (Poster), 2017)

Visual Discovery at Pinterest. - Andrew Zhai; Dmitry Kislyuk; Yushi Jing; Michael Feng; Eric Tzeng; Jeff Donahue; Yue Li Du; Trevor Darrell (WWW (Companion Volume), 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)

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)

Transferrable Representations for Visual Recognition. - Jeffrey Donahue (2017)

Large Scale GAN Training for High Fidelity Natural Image Synthesis. - Andrew Brock; Jeff Donahue; Karen Simonyan (ICLR, 2019)

Large Scale Adversarial Representation Learning. - Jeff Donahue; Karen Simonyan (NeurIPS, 2019)

Efficient Video Generation on Complex Datasets. - Aidan Clark; Jeff Donahue; Karen Simonyan (CoRR, 2019)

LOGAN: Latent Optimisation for Generative Adversarial Networks. - Yan Wu 010; Jeff Donahue; David Balduzzi; Karen Simonyan; Timothy P. Lillicrap (CoRR, 2019)

High Fidelity Speech Synthesis with Adversarial Networks. - Mikolaj Binkowski; Jeff Donahue; Sander Dieleman; Aidan Clark; Erich Elsen; Norman Casagrande; Luis C. Cobo; Karen Simonyan (ICLR, 2020)

Training Generative Adversarial Networks by Solving Ordinary Differential Equations. - Chongli Qin; Yan Wu 010; Jost Tobias Springenberg; Andy Brock; Jeff Donahue; Timothy P. Lillicrap; Pushmeet Kohli (NeurIPS, 2020)

End-to-end Adversarial Text-to-Speech. - Jeff Donahue; Sander Dieleman; Mikolaj Binkowski; Erich Elsen; Karen Simonyan (ICLR, 2021)

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; et al. (NeurIPS, 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; et al. (CoRR, 2022)