Richard Zemel
Richard Zemel
Professor of Computer Science, University of Toronto
在 cs.toronto.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ...
International conference on machine learning, 2048-2057, 2015
58872015
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
18682015
Prototypical networks for few-shot learning
J Snell, K Swersky, R Zemel
Advances in neural information processing systems, 4077-4087, 2017
15842017
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2, 2015
15802015
The helmholtz machine
P Dayan, GE Hinton, RM Neal, RS Zemel
Neural computation 7 (5), 889-904, 1995
12171995
Fairness through awareness
C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel
Proceedings of the 3rd innovations in theoretical computer science …, 2012
11402012
Gated graph sequence neural networks
Y Li, D Tarlow, M Brockschmidt, R Zemel
arXiv preprint arXiv:1511.05493, 2015
11302015
Multiscale conditional random fields for image labeling
X He, RS Zemel, MÁ Carreira-Perpiñán
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
11022004
Autoencoders, minimum description length and Helmholtz free energy
GE Hinton, RS Zemel
Advances in neural information processing systems, 3-10, 1994
9071994
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
arXiv preprint arXiv:1411.2539, 2014
8982014
Information processing with population codes
A Pouget, P Dayan, R Zemel
Nature Reviews Neuroscience 1 (2), 125-132, 2000
7482000
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler
Proceedings of the IEEE international conference on computer vision, 19-27, 2015
7412015
Learning fair representations
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
International Conference on Machine Learning, 325-333, 2013
7132013
Multimodal neural language models
R Kiros, R Salakhutdinov, R Zemel
International conference on machine learning, 595-603, 2014
5592014
Inference and computation with population codes
A Pouget, P Dayan, RS Zemel
Annual review of neuroscience 26 (1), 381-410, 2003
5112003
Generative moment matching networks
Y Li, K Swersky, R Zemel
International Conference on Machine Learning, 1718-1727, 2015
5072015
Understanding the effective receptive field in deep convolutional neural networks
W Luo, Y Li, R Urtasun, R Zemel
Advances in neural information processing systems, 4898-4906, 2016
4982016
Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in neural information processing systems, 2953-2961, 2015
4972015
Probabilistic interpretation of population codes
RS Zemel, P Dayan, A Pouget
Neural computation 10 (2), 403-430, 1998
4481998
Meta-learning for semi-supervised few-shot classification
M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ...
arXiv preprint arXiv:1803.00676, 2018
2922018
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