2022
Flamingo: a Visual Language Model for Few-Shot Learning.
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CoRR, 2022
Flamingo: a Visual Language Model for Few-Shot Learning.
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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.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations.
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.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
LOGAN: Latent Optimisation for Generative Adversarial Networks.
CoRR, 2019
Efficient Video Generation on Complex Datasets.
CoRR, 2019
Large Scale Adversarial Representation Learning.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019
2017
Transferrable Representations for Visual Recognition.
PhD thesis, 2017
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Population Based Training of Neural Networks.
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CoRR, 2017
Visual Discovery at Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Adversarial Feature Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Data-dependent Initializations of Convolutional Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016
Generating Visual Explanations.
Proceedings of the Computer Vision - ECCV 2016, 2016
Context Encoders: Feature Learning by Inpainting.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
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.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Sequence to Sequence - Video to Text.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.
Int. J. Comput. Vis., 2014
One-Shot Adaptation of Supervised Deep Convolutional Models.
Proceedings of the 2nd International Conference on Learning Representations, 2014
LSDA: Large Scale Detection Through Adaptation.
CoRR, 2014
Open-vocabulary Object Retrieval.
Proceedings of the Robotics: Science and Systems X, 2014
LSDA: Large Scale Detection through Adaptation.
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.
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.
Proceedings of the 31th International Conference on Machine Learning, 2014
Part-Based R-CNNs for Fine-Grained Category Detection.
Proceedings of the Computer Vision - ECCV 2014, 2014
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Efficient Learning of Domain-invariant Image Representations
Proceedings of the 1st International Conference on Learning Representations, 2013
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations.
CoRR, 2013
Semi-supervised Domain Adaptation with Instance Constraints.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2011
Annotator rationales for visual recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011