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2010 – today
- 2018
[c20]Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! AAAI 2018: 5569-5577- 2017
- [i14]Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache:
Training Language Models Using Target-Propagation. CoRR abs/1702.04770 (2017) - [i13]Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! CoRR abs/1709.03856 (2017) - 2016
- [c19]Sumit Chopra, Michael Auli, Alexander M. Rush:
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL 2016: 93-98 - [i12]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Dialogue Learning With Human-In-The-Loop. CoRR abs/1611.09823 (2016) - [i11]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Learning Through Dialogue Interactions. CoRR abs/1612.04936 (2016) - 2015
- [c18]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. EMNLP 2015: 379-389 - [i10]Jason Weston, Antoine Bordes, Sumit Chopra, Tomas Mikolov:
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. CoRR abs/1502.05698 (2015) - [i9]Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston:
Large-scale Simple Question Answering with Memory Networks. CoRR abs/1506.02075 (2015) - [i8]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. CoRR abs/1509.00685 (2015) - [i7]Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston:
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. CoRR abs/1511.02301 (2015) - [i6]Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba:
Sequence Level Training with Recurrent Neural Networks. CoRR abs/1511.06732 (2015) - [i5]Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston:
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. CoRR abs/1511.06931 (2015) - 2014
- [c17]Antoine Bordes, Sumit Chopra, Jason Weston:
Question Answering with Subgraph Embeddings. EMNLP 2014: 615-620 - [c16]Jason Weston, Sumit Chopra, Keith Adams:
#TagSpace: Semantic Embeddings from Hashtags. EMNLP 2014: 1822-1827 - [i4]Antoine Bordes, Sumit Chopra, Jason Weston:
Question Answering with Subgraph Embeddings. CoRR abs/1406.3676 (2014) - [i3]
- [i2]Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra:
Video (language) modeling: a baseline for generative models of natural videos. CoRR abs/1412.6604 (2014) - [i1]Tomas Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato:
Learning Longer Memory in Recurrent Neural Networks. CoRR abs/1412.7753 (2014) - 2012
- [j2]Suhrid Balakrishnan, Sumit Chopra:
Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models. Frontiers Comput. Sci. 6(2): 197-208 (2012) - [c15]Sumit Chopra, Srinivas Bangalore:
Weakly supervised neural networks for Part-Of-Speech tagging. ICASSP 2012: 1965-1968 - [c14]Suhrid Balakrishnan, Sumit Chopra, David Applegate, Simon Urbanek:
Computational Television Advertising. ICDM 2012: 71-80 - [c13]
- 2011
- [c12]Sumit Chopra, Srinivas Bangalore:
Non-linear tagging models with localist and distributed word representations. ICASSP 2011: 2144-2147 - [c11]Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis:
Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification. INTERSPEECH 2011: 233236 - 2010
- [c10]Suhrid Balakrishnan, Sumit Chopra:
Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models. ICDM 2010: 725-730 - [c9]Piotr W. Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore:
Feature-rich continuous language models for speech recognition. SLT 2010: 241-246
2000 – 2009
- 2007
- [j1]Neelima Gupta, Sumit Chopra:
Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel. J. Parallel Distrib. Comput. 67(7): 772-782 (2007) - [c8]Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang:
Energy-Based Models in Document Recognition and Computer Vision. ICDAR 2007: 337-341 - [c7]Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun:
Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD 2007: 173-182 - [c6]Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun:
A Unified Energy-Based Framework for Unsupervised Learning. AISTATS 2007: 371-379 - 2006
- [c5]Raia Hadsell, Sumit Chopra, Yann LeCun:
Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) 2006: 1735-1742 - [c4]Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun:
Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS 2006: 1137-1144 - 2005
- [c3]Sumit Chopra, Raia Hadsell, Yann LeCun:
Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) 2005: 539-546 - 2003
- [c2]Amit Agarwal, Tarun Agarwal, Sumit Chopra, Anja Feldmann, Nils Kammenhuber, Piotr Krysta, Berthold Vöcking:
An Experimental Study of k-Splittable Scheduling for DNS-Based Traffic Allocation. Euro-Par 2003: 230-235 - 2001
- [c1]Neelima Gupta, Sumit Chopra, Sandeep Sen:
Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel. FSTTCS 2001: 183-194
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