Richard Zemel
Richard Zemel
Professor of Computer Science, University of Toronto
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
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
45102015
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
14532015
The helmholtz machine
P Dayan, GE Hinton, RM Neal, RS Zemel
Neural computation 7 (5), 889-904, 1995
11191995
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
10512004
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2, 2015
10042015
Prototypical networks for few-shot learning
J Snell, K Swersky, R Zemel
Advances in neural information processing systems, 4077-4087, 2017
8412017
Fairness through awareness
C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel
Proceedings of the 3rd innovations in theoretical computer science …, 2012
8102012
Autoencoders, minimum description length and Helmholtz free energy
GE Hinton, RS Zemel
Advances in neural information processing systems, 3-10, 1994
7511994
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
arXiv preprint arXiv:1411.2539, 2014
7502014
Gated graph sequence neural networks
Y Li, D Tarlow, M Brockschmidt, R Zemel
arXiv preprint arXiv:1511.05493, 2015
7492015
Information processing with population codes
A Pouget, P Dayan, R Zemel
Nature Reviews Neuroscience 1 (2), 125-132, 2000
7142000
Inference and computation with population codes
A Pouget, P Dayan, RS Zemel
Annual review of neuroscience 26 (1), 381-410, 2003
4982003
Learning fair representations
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
International Conference on Machine Learning, 325-333, 2013
4862013
Multimodal neural language models
R Kiros, R Salakhutdinov, R Zemel
International conference on machine learning, 595-603, 2014
4742014
Probabilistic interpretation of population codes
RS Zemel, P Dayan, A Pouget
Neural computation 10 (2), 403-430, 1998
4331998
Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in neural information processing systems, 2953-2961, 2015
4222015
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
4082015
Generative moment matching networks
Y Li, K Swersky, R Zemel
International Conference on Machine Learning, 1718-1727, 2015
4022015
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
3332016
Object-based attention and occlusion: evidence from normal participants and a computational model.
M Behrmann, RS Zemel, MC Mozer
Journal of Experimental Psychology: Human Perception and Performance 24 (4 …, 1998
2561998
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