Scott Reed
Scott Reed
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Going deeper with convolutions
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
343872015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
European conference on computer vision, 21-37, 2016
172602016
Generative Adversarial Text-to-Image Synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
Proceedings of The 33rd International Conference on Machine Learning, 2016
22342016
Evaluation of Output Embeddings for Fine-Grained Image Classification
Z Akata, S Reed, D Walter, H Lee, B Schiele
IEEE Computer Vision and Pattern Recognition, 2015
8162015
Training Deep Neural Networks on Noisy Labels with Bootstrapping
S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich
ArXiv e-prints, 2015
6212015
Learning Deep Representations of Fine-grained Visual Descriptions
S Reed, Z Akata, B Schiele, H Lee
IEEE Computer Vision and Pattern Recognition, 2016
6142016
Learning what and where to draw
SE Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee
Advances in neural information processing systems 29, 217-225, 2016
4762016
European conference on computer vision
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Springer, 2016
4682016
Scalable, High-Quality Object Detection
C Szegedy, S Reed, D Erhan, D Anguelov
ArXiv e-prints, 2014
4112014
Neural Programmer-Interpreters
S Reed, N de Freitas
International Conference on Learning Representations, 2016
3962016
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J Yang, SE Reed, MH Yang, H Lee
Advances in neural information processing systems, 1099-1107, 2015
3052015
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems 28, 1252-1260, 2015
2542015
Learning to Disentangle Factors of Variation with Manifold Interaction
S Reed, K Sohn, Y Zhang, H Lee
Proceedings of the 31st International Conference on Machine Learning …, 2014
2372014
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nießner
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1632018
Parallel multiscale autoregressive density estimation
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ...
International Conference on Machine Learning, 2912-2921, 2017
1532017
Robust imitation of diverse behaviors
Z Wang, J Merel, S Reed, G Wayne, N de Freitas, N Heess
arXiv preprint arXiv:1707.02747, 2017
1412017
Neural arithmetic logic units
A Trask, F Hill, S Reed, J Rae, C Dyer, P Blunsom
arXiv preprint arXiv:1808.00508, 2018
1332018
Going deeper with convolutions. 2015
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
IEEE. Available online: https://storage. googleapis. com/pub-tools-public …, 2015
632015
Few-shot autoregressive density estimation: Towards learning to learn distributions
S Reed, Y Chen, T Paine, A Oord, SM Eslami, D Rezende, O Vinyals, ...
arXiv preprint arXiv:1710.10304, 2017
622017
Sample efficient adaptive text-to-speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
arXiv preprint arXiv:1809.10460, 2018
592018
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