Sumit Chopra

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 25

Top Topics

Visual Representations

Forgery Detection

Fracture Detection

Top Venues

Publications

Simranjot Kaur, Sumit Chopra, Anchal Nayyar, Rajesh Sharma, Gagandeep Singh
A sequential convolutional neural network for image forgery detection. Multim. Tools Appl. 83 (14) (2024)
Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR (2024)
Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. CoRR (2024)
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 (2023)
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 (2023)
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 (2023)
Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz
Radiology Reports Improve Visual Representations Learned from Radiographs. MIDL (2023)
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)
Ankur Sharma, Sumit Chopra, Vijay Kumar Banga, Thaweesak Yingthawornsuk
Comparing Machine Learning Feature Selection Methods for Dementia Anatomical Brain MRI. SITIS (2023)
Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020)
Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR (2019)
Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL (2019)
Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter
Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA 115 (45) (2018)
Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston
StarSpace: Embed All The Things! AAAI (2018)
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
Learning through Dialogue Interactions by Asking Questions. ICLR (Poster) (2017)
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
Dialogue Learning With Human-in-the-Loop. ICLR (Poster) (2017)
Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston
StarSpace: Embed All The Things! CoRR (2017)
Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache
Training Language Models Using Target-Propagation. CoRR (2017)
Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR (2016)
Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. ICLR (Poster) (2016)
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) (2016)
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
Learning Through Dialogue Interactions. CoRR (2016)
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)
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
Dialogue Learning With Human-In-The-Loop. CoRR (2016)
Sumit Chopra, Michael Auli, Alexander M. Rush
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL (2016)
Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
Large-scale Simple Question Answering with Memory Networks. CoRR (2015)
Jason Weston, Sumit Chopra, Antoine Bordes
Memory Networks. ICLR (2015)
Alexander M. Rush, Sumit Chopra, Jason Weston
A Neural Attention Model for Abstractive Sentence Summarization. CoRR (2015)
Alexander M. Rush, Sumit Chopra, Jason Weston
A Neural Attention Model for Abstractive Sentence Summarization. EMNLP (2015)
Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) (2015)
Jason Weston, Sumit Chopra, Keith Adams
#TagSpace: Semantic Embeddings from Hashtags. EMNLP (2014)
Antoine Bordes, Sumit Chopra, Jason Weston
Question Answering with Subgraph Embeddings. EMNLP (2014)
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 (2014)
Antoine Bordes, Sumit Chopra, Jason Weston
Question Answering with Subgraph Embeddings. CoRR (2014)
Suhrid Balakrishnan, Sumit Chopra
Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models. Frontiers Comput. Sci. 6 (2) (2012)
Suhrid Balakrishnan, Sumit Chopra, David L. Applegate, Simon Urbanek
Computational Television Advertising. ICDM (2012)
Suhrid Balakrishnan, Sumit Chopra
Collaborative ranking. WSDM (2012)
Sumit Chopra, Srinivas Bangalore
Weakly supervised neural networks for Part-Of-Speech tagging. ICASSP (2012)
Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis
Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification. INTERSPEECH (2011)
Sumit Chopra, Srinivas Bangalore
Non-linear tagging models with localist and distributed word representations. ICASSP (2011)
Suhrid Balakrishnan, Sumit Chopra
Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models. ICDM (2010)
Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore
Feature-rich continuous language models for speech recognition. SLT (2010)
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)
Neelima Gupta, Sumit Chopra
Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel. J. Parallel Distributed Comput. 67 (7) (2007)
Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun
A Unified Energy-Based Framework for Unsupervised Learning. AISTATS (2007)
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang
Energy-Based Models in Document Recognition and Computer Vision. ICDAR (2007)
Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun
Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS (2006)
Raia Hadsell, Sumit Chopra, Yann LeCun
Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) (2006)
Sumit Chopra, Raia Hadsell, Yann LeCun
Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) (2005)
Amit Agarwal, Tarun Agarwal, Sumit Chopra, Anja Feldmann, Nils Kammenhuber, Piotr Krysta, Berthold Vöcking
-Splittable Scheduling for DNS-Based Traffic Allocation. Euro-Par (2003)
Neelima Gupta, Sumit Chopra, Sandeep Sen
Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel. FSTTCS (2001)