Sumit Chopra
Sumit Chopra
Courant Institute of Mathematical Sciences, NYU
Verified email at - Homepage
Cited by
Cited by
Dimensionality reduction by learning an invariant mapping
R Hadsell, S Chopra, Y LeCun
2006 IEEE computer society conference on computer vision and pattern …, 2006
Learning a similarity metric discriminatively, with application to face verification
S Chopra, R Hadsell, Y LeCun
2005 IEEE computer society conference on computer vision and pattern …, 2005
A neural attention model for abstractive sentence summarization
AM Rush, S Chopra, J Weston
arXiv preprint arXiv:1509.00685, 2015
Memory networks
J Weston, S Chopra, A Bordes
arXiv preprint arXiv:1410.3916, 2014
Efficient learning of sparse representations with an energy-based model
MA Ranzato, C Poultney, S Chopra, Y Cun
Advances in neural information processing systems 19, 2006
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
A tutorial on energy-based learning
Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang
Predicting structured data 1 (0), 2006
Towards ai-complete question answering: A set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ...
arXiv preprint arXiv:1502.05698, 2015
Abstractive sentence summarization with attentive recurrent neural networks
S Chopra, M Auli, AM Rush
Proceedings of the 2016 conference of the North American chapter of the …, 2016
Question answering with subgraph embeddings
A Bordes, S Chopra, J Weston
arXiv preprint arXiv:1406.3676, 2014
Large-scale simple question answering with memory networks
A Bordes, N Usunier, S Chopra, J Weston
arXiv preprint arXiv:1506.02075, 2015
The goldilocks principle: Reading children's books with explicit memory representations
F Hill, A Bordes, S Chopra, J Weston
arXiv preprint arXiv:1511.02301, 2015
Deep neural network improves fracture detection by clinicians
R Lindsey, A Daluiski, S Chopra, A Lachapelle, M Mozer, S Sicular, ...
Proceedings of the National Academy of Sciences 115 (45), 11591-11596, 2018
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
Learning through dialogue interactions by asking questions
J Li, AH Miller, S Chopra, MA Ranzato, J Weston
arXiv preprint arXiv:1612.04936, 2016
Learning longer memory in recurrent neural networks
T Mikolov, A Joulin, S Chopra, M Mathieu, MA Ranzato
arXiv preprint arXiv:1412.7753, 2014
Starspace: Embed all the things!
L Wu, A Fisch, S Chopra, K Adams, A Bordes, J Weston
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Dlid: Deep learning for domain adaptation by interpolating between domains
S Chopra, S Balakrishnan, R Gopalan
ICML workshop on challenges in representation learning 2 (6), 2013
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
# tagspace: Semantic embeddings from hashtags
J Weston, S Chopra, K Adams
Proceedings of the 2014 conference on empirical methods in natural language …, 2014
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