Sotabase

Career

· PhD in Computer Science, New York University2003–2008
· Bachelor of Information Sciences, HansRaj College, University of Delhi1999–2003
· Senior Research Scientist, AT&T Labs-Research
· Associate Professor, Courant Institute of Mathematical Sciences, NYU
· Research Scientist, Facebook (Meta) AI Research (FAIR)
· Co-founder and Vice President of AI, Imagen Technologies
· Associate Professor and Director of Machine Learning Research, NYU Grossman School of Medicine

Publications (231)

Dimensionality Reduction by Learning an Invariant Mapping
Computer Vision and Pattern Recognition · 2006
5,623
cited
Learning a similarity metric discriminatively, with application to face verification
Computer Vision and Pattern Recognition · 2005
4,471
cited
A Neural Attention Model for Abstractive Sentence Summarization
Conference on Empirical Methods in Natural Language Processing · 2015
2,805
cited
Memory Networks
International Conference on Learning Representations · 2014
1,805
cited
Sequence Level Training with Recurrent Neural Networks
International Conference on Learning Representations · 2015
1,725
cited
A Tutorial on Energy-Based Learning
2006
1,720
cited
Efficient Learning of Sparse Representations with an Energy-Based Model
Neural Information Processing Systems · 2006
1,347
cited
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
International Conference on Learning Representations · 2015
1,229
cited
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
North American Chapter of the Association for Computational Linguistics · 2016
918
cited
Question Answering with Subgraph Embeddings
Conference on Empirical Methods in Natural Language Processing · 2014
731
cited
Large-scale Simple Question Answering with Memory Networks
arXiv.org · 2015
729
cited
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
International Conference on Learning Representations · 2015
646
cited
Deep neural network improves fracture detection by clinicians
Proceedings of the National Academy of Sciences of the United States of America · 2018
520
cited
Video (language) modeling: a baseline for generative models of natural videos
arXiv.org · 2014
480
cited
Learning Longer Memory in Recurrent Neural Networks
International Conference on Learning Representations · 2014
267
cited
StarSpace: Embed All The Things!
AAAI Conference on Artificial Intelligence · 2017
255
cited
DLID: Deep Learning for Domain Adaptation by Interpolating between Domains
2013
207
cited
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
International Conference on Learning Representations · 2015
202
cited
#TagSpace: Semantic Embeddings from Hashtags
Conference on Empirical Methods in Natural Language Processing · 2014
186
cited
Collaborative ranking
Web Search and Data Mining · 2012
159
cited
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