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Sumit Chopra
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Publications
- 2023
- [c32]Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz:
Radiology Reports Improve Visual Representations Learned from Radiographs. MIDL 2023: 1385-1405 - [c31]Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL 2023: 1726-1750 - [i12]Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra:
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR abs/2301.11962 (2023) - [i11]Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh B. Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson:
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR abs/2304.09254 (2023) - [i10]Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra:
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR abs/2306.13276 (2023) - 2018
- [c28]Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! AAAI 2018: 5569-5577 - 2017
- [c27]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Dialogue Learning With Human-in-the-Loop. ICLR (Poster) 2017 - [c26]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Learning through Dialogue Interactions by Asking Questions. ICLR (Poster) 2017 - [i8]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) - [i7]Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston:
StarSpace: Embed All The Things! CoRR abs/1709.03856 (2017) - 2016
- [c25]Sumit Chopra, Michael Auli, Alexander M. Rush:
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL 2016: 93-98 - [c24]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. ICLR (Poster) 2016 - [c23]Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston:
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR 2016 - [c22]Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba:
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) 2016 - [c21]Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov:
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. ICLR (Poster) 2016 - [i6]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Dialogue Learning With Human-In-The-Loop. CoRR abs/1611.09823 (2016) - [i5]Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston:
Learning Through Dialogue Interactions. CoRR abs/1612.04936 (2016) - 2015
- [c20]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. EMNLP 2015: 379-389 - [c19]Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato:
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) 2015 - [c18]Jason Weston, Sumit Chopra, Antoine Bordes:
Memory Networks. ICLR 2015 - [i4]Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston:
Large-scale Simple Question Answering with Memory Networks. CoRR abs/1506.02075 (2015) - [i3]Alexander M. Rush, Sumit Chopra, Jason Weston:
A Neural Attention Model for Abstractive Sentence Summarization. CoRR abs/1509.00685 (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 - [i2]Antoine Bordes, Sumit Chopra, Jason Weston:
Question Answering with Subgraph Embeddings. CoRR abs/1406.3676 (2014) - [i1]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) - 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 L. Applegate, Simon Urbanek:
Computational Television Advertising. ICDM 2012: 71-80 - [c13]Suhrid Balakrishnan, Sumit Chopra:
Collaborative ranking. WSDM 2012: 143-152 - 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 Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore:
Feature-rich continuous language models for speech recognition. SLT 2010: 241-246 - 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
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