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Arthur Szlam
Arthur Szlam
Facebook AI Research
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Title
Cited by
Cited by
Year
Spectral networks and locally connected networks on graphs
J Bruna, W Zaremba, A Szlam, Y LeCun
arXiv preprint arXiv:1312.6203, 2013
37632013
End-to-end memory networks
S Sukhbaatar, A Szlam, J Weston, R Fergus
Advances in neural information processing systems 28, 2015
25352015
Geometric deep learning: going beyond euclidean data
MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst
IEEE Signal Processing Magazine 34 (4), 18-42, 2017
24662017
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
E Denton, S Chintala, A Szlam, R Fergus
Advances in neural information processing systems 28, 2015
23452015
Personalizing dialogue agents: I have a dog, do you have pets too?
S Zhang, E Dinan, J Urbanek, A Szlam, D Kiela, J Weston
arXiv preprint arXiv:1801.07243, 2018
8372018
Learning multiagent communication with backpropagation
S Sukhbaatar, A Szlam, R Fergus
Advances in Neural Information Processing Systems, 2244-2252, 2016
8152016
Video (language) modeling: a baseline for generative models of natural videos
MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra
arXiv preprint arXiv:1412.6604, 2014
4342014
A randomized algorithm for principal component analysis
V Rokhlin, A Szlam, M Tygert
SIAM Journal on Matrix Analysis and Applications 31 (3), 1100-1124, 2010
4152010
Incremental gradient on the grassmannian for online foreground and background separation in subsampled video
J He, L Balzano, A Szlam
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1568-1575, 2012
4142012
Simple baseline for visual question answering
B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus
arXiv preprint arXiv:1512.02167, 2015
3412015
Optimizing the latent space of generative networks
P Bojanowski, A Joulin, D Lopez-Paz, A Szlam
arXiv preprint arXiv:1707.05776, 2017
3302017
Intrinsic motivation and automatic curricula via asymmetric self-play
S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus
arXiv preprint arXiv:1703.05407, 2017
2602017
Tracking the world state with recurrent entity networks
M Henaff, J Weston, A Szlam, A Bordes, Y LeCun
arXiv preprint arXiv:1612.03969, 2016
2332016
The second conversational intelligence challenge (convai2)
E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ...
The NeurIPS'18 Competition, 187-208, 2020
2302020
Hybrid linear modeling via local best-fit flats
T Zhang, A Szlam, Y Wang, G Lerman
International journal of computer vision 100 (3), 217-240, 2012
2242012
Evaluating prerequisite qualities for learning end-to-end dialog systems
J Dodge, A Gane, X Zhang, A Bordes, S Chopra, A Miller, A Szlam, ...
arXiv preprint arXiv:1511.06931, 2015
1932015
Median k-flats for hybrid linear modeling with many outliers
T Zhang, A Szlam, G Lerman
2009 IEEE 12th international conference on computer vision workshops, ICCV …, 2009
1932009
Regularization on graphs with function-adapted diffusion processes.
AD Szlam, M Maggioni, RR Coifman
Journal of Machine Learning Research 9 (8), 2008
1642008
Modeling others using oneself in multi-agent reinforcement learning
R Raileanu, E Denton, A Szlam, R Fergus
International conference on machine learning, 4257-4266, 2018
1452018
Dialogue natural language inference
S Welleck, J Weston, A Szlam, K Cho
arXiv preprint arXiv:1811.00671, 2018
1422018
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