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Richard Zemel
Richard Zemel
Professor of Computer Science, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Show, attend and tell: Neural image caption generation with visual attention
K Xu
arXiv preprint arXiv:1502.03044, 2015
129872015
Prototypical networks for few-shot learning
J Snell, K Swersky, R Zemel
Advances in neural information processing systems 30, 2017
98332017
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2 (1), 1-30, 2015
55362015
Fairness through awareness
C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel
Proceedings of the 3rd innovations in theoretical computer science …, 2012
45362012
Gated graph sequence neural networks
Y Li, D Tarlow, M Brockschmidt, R Zemel
arXiv preprint arXiv:1511.05493, 2015
42132015
Advances in neural information processing systems
H Lyu, N Sha, S Qin, M Yan, Y Xie, R Wang
Advances in neural information processing systems 32, 2019
4115*2019
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Y Zhu
arXiv preprint arXiv:1506.06724, 2015
33062015
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
32062015
Learning fair representations
R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork
International conference on machine learning, 325-333, 2013
22412013
Understanding the effective receptive field in deep convolutional neural networks
W Luo, Y Li, R Urtasun, R Zemel
Advances in neural information processing systems 29, 2016
22282016
Shortcut learning in deep neural networks
R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ...
Nature Machine Intelligence 2 (11), 665-673, 2020
20912020
Autoencoders, minimum description length and Helmholtz free energy
GE Hinton, R Zemel
Advances in neural information processing systems 6, 1993
19761993
The helmholtz machine
P Dayan, GE Hinton, RM Neal, RS Zemel
Neural computation 7 (5), 889-904, 1995
17531995
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
arXiv preprint arXiv:1411.2539, 2014
17232014
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
16712018
Multiscale conditional random fields for image labeling
X He, RS Zemel, MA Carreira-Perpinán
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
12802004
Generative moment matching networks
Y Li, K Swersky, R Zemel
International conference on machine learning, 1718-1727, 2015
10492015
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International conference on machine learning, 2688-2697, 2018
10202018
Information processing with population codes
A Pouget, P Dayan, R Zemel
Nature Reviews Neuroscience 1 (2), 125-132, 2000
9492000
Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in neural information processing systems 28, 2015
9192015
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