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Scott Reed
Scott Reed
Research Scientist, Google DeepMind
Email verificata su google.com - Home page
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Citata da
Citata da
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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 patterná…, 2015
572452015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, Theá…, 2016
362762016
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
37042016
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
11592015
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
10992015
Learning Deep Representations of Fine-grained Visual Descriptions
S Reed, Z Akata, B Schiele, H Lee
IEEE Computer Vision and Pattern Recognition, 2016
9422016
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, 2016
8732016
A Generalist Agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
Transactions on Machine Learning Research, 2022
6012022
Scalable, High-Quality Object Detection
C Szegedy, S Reed, D Erhan, D Anguelov
ArXiv e-prints, 2014
5392014
Neural Programmer-Interpreters
S Reed, N de Freitas
International Conference on Learning Representations, 2016
5342016
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J Yang, SE Reed, MH Yang, H Lee
Advances in neural information processing systems 28, 2015
3592015
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems 28, 2015
3402015
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nie▀ner
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2018
2962018
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 Learningá…, 2014
2832014
Critic regularized regression
Z Wang, A Novikov, K Zolna, JS Merel, JT Springenberg, SE Reed, ...
Advances in Neural Information Processing Systems 33, 7768-7778, 2020
2572020
Going deeper with convolutions. arXiv 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842 12, 0
248
Robust imitation of diverse behaviors
Z Wang, JS Merel, SE Reed, N de Freitas, G Wayne, N Heess
Advances in Neural Information Processing Systems 30, 2017
2402017
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
2262017
Neural arithmetic logic units
A Trask, F Hill, SE Reed, J Rae, C Dyer, P Blunsom
Advances in neural information processing systems 31, 2018
2202018
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Going deeper with convolutions. in, 2015
2182015
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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