Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel. - Neelima Gupta; Sumit Chopra; Sandeep Sen (FSTTCS, 2001)

An Experimental Study of k-Splittable Scheduling for DNS-Based Traffic Allocation. - Amit Agarwal; Tarun Agarwal; Sumit Chopra; Anja Feldmann; Nils Kammenhuber; Piotr Krysta; Berthold Vöcking (Euro-Par, 2003)

Learning a Similarity Metric Discriminatively, with Application to Face Verification. - Sumit Chopra; Raia Hadsell; Yann LeCun (CVPR (1), 2005)

Dimensionality Reduction by Learning an Invariant Mapping. - Raia Hadsell; Sumit Chopra; Yann LeCun (CVPR (2), 2006)

Efficient Learning of Sparse Representations with an Energy-Based Model. - Marc'Aurelio Ranzato; Christopher S. Poultney; Sumit Chopra; Yann LeCun (NIPS, 2006)

Energy-Based Models in Document Recognition and Computer Vision. - Yann LeCun; Sumit Chopra; Marc'Aurelio Ranzato; Fu Jie Huang (ICDAR, 2007)

Discovering the hidden structure of house prices with a non-parametric latent manifold model. - Sumit Chopra; Trivikraman Thampy; John Leahy; Andrew Caplin; Yann LeCun (KDD, 2007)

A Unified Energy-Based Framework for Unsupervised Learning. - Marc'Aurelio Ranzato; Y-Lan Boureau; Sumit Chopra; Yann LeCun (AISTATS, 2007)

Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel. - Neelima Gupta; Sumit Chopra (J. Parallel Distributed Comput., 2007)

Factor Graphs for Relational Regression. - Sumit Chopra (2009)

Feature-rich continuous language models for speech recognition. - Piotr Mirowski; Sumit Chopra; Suhrid Balakrishnan; Srinivas Bangalore (SLT, 2010)

Non-linear tagging models with localist and distributed word representations. - Sumit Chopra; Srinivas Bangalore (ICASSP, 2011)

Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification. - Sumit Chopra; Patrick Haffner; Dimitrios Dimitriadis (INTERSPEECH, 2011)

Weakly supervised neural networks for Part-Of-Speech tagging. - Sumit Chopra; Srinivas Bangalore (ICASSP, 2012)

Computational Television Advertising. - Suhrid Balakrishnan; Sumit Chopra; David L. Applegate; Simon Urbanek (ICDM, 2012)

Collaborative ranking. - Suhrid Balakrishnan; Sumit Chopra (WSDM, 2012)

Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models. - Suhrid Balakrishnan; Sumit Chopra (Frontiers Comput. Sci., 2012)

Question Answering with Subgraph Embeddings. - Antoine Bordes; Sumit Chopra; Jason Weston (EMNLP, 2014)

#TagSpace: Semantic Embeddings from Hashtags. - Jason Weston; Sumit Chopra; Keith Adams (EMNLP, 2014)

Video (language) modeling: a baseline for generative models of natural videos. - Marc'Aurelio Ranzato; Arthur Szlam; Joan Bruna; Michaël Mathieu; Ronan Collobert; Sumit Chopra (CoRR, 2014)

A Neural Attention Model for Abstractive Sentence Summarization. - Alexander M. Rush; Sumit Chopra; Jason Weston (EMNLP, 2015)

Large-scale Simple Question Answering with Memory Networks. - Antoine Bordes; Nicolas Usunier; Sumit Chopra; Jason Weston (CoRR, 2015)

Learning Longer Memory in Recurrent Neural Networks. - Tomás Mikolov; Armand Joulin; Sumit Chopra; Michaël Mathieu; Marc'Aurelio Ranzato (ICLR (Workshop), 2015)

Memory Networks. - Jason Weston; Sumit Chopra; Antoine Bordes (ICLR, 2015)

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. - Sumit Chopra; Michael Auli; Alexander M. Rush (HLT-NAACL, 2016)

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. - Jesse Dodge; Andreea Gane; Xiang Zhang 013; Antoine Bordes; Sumit Chopra; Alexander H. Miller; Arthur Szlam; Jason Weston (ICLR (Poster), 2016)

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. - Felix Hill; Antoine Bordes; Sumit Chopra; Jason Weston (ICLR, 2016)

Learning Through Dialogue Interactions. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (CoRR, 2016)

Sequence Level Training with Recurrent Neural Networks. - Marc'Aurelio Ranzato; Sumit Chopra; Michael Auli; Wojciech Zaremba (ICLR (Poster), 2016)

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. - Jason Weston; Antoine Bordes; Sumit Chopra; Tomás Mikolov (ICLR (Poster), 2016)

Dialogue Learning With Human-in-the-Loop. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (ICLR (Poster), 2017)

Learning through Dialogue Interactions by Asking Questions. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (ICLR (Poster), 2017)

Training Language Models Using Target-Propagation. - Sam Wiseman; Sumit Chopra; Marc'Aurelio Ranzato; Arthur Szlam; Ruoyu Sun 004; Soumith Chintala; Nicolas Vasilache (CoRR, 2017)

StarSpace: Embed All The Things! - Ledell Yu Wu; Adam Fisch; Sumit Chopra; Keith Adams; Antoine Bordes; Jason Weston (AAAI, 2018)

Deep neural network improves fracture detection by clinicians. - Robert V. Lindsey; Aaron Daluiski; Sumit Chopra; Alexander Lachapelle; Michael Mozer; Serge Sicular; Douglas Hanel; Michael Gardner; Anurag Gupta; Robert Hotchkiss; Hollis Potter (Proc. Natl. Acad. Sci. USA, 2018)

Generative Image Translation for Data Augmentation of Bone Lesion Pathology. - Anant Gupta; Srivas Venkatesh; Sumit Chopra; Christian Ledig (MIDL, 2019)

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. - 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; et al. (npj Digit. Medicine, 2020)

Radiology Reports Improve Visual Representations Learned from Radiographs. - Haoxu Huang; Samyak Rawlekar; Sumit Chopra; Cem M. Deniz (MIDL, 2023)

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. - Divyam Madaan; Daniel K. Sodickson; Kyunghyun Cho; Sumit Chopra (MIDL, 2023)

Comparing Machine Learning Feature Selection Methods for Dementia Anatomical Brain MRI. - Ankur Sharma; Sumit Chopra; Vijay Kumar Banga; Thaweesak Yingthawornsuk (SITIS, 2023)

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. - Raghav Singhal; Mukund Sudarshan; Anish Mahishi; Sri Kaushik; Luke Ginocchio; Angela Tong; Hersh Chandarana; Daniel K. Sodickson; Rajesh Ranganath; Sumit Chopra (CoRR, 2023)

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. - Radhika Tibrewala; Tarun Dutt; Angela Tong; Luke Ginocchio; Mahesh Bharath Keerthivasan; Steven H. Baete; Sumit Chopra; Yvonne W. Lui; Daniel K. Sodickson; Hersh Chandarana; Patricia M. Johnson (CoRR, 2023)

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. - Chen-Yu Yen; Raghav Singhal; Umang Sharma; Rajesh Ranganath; Sumit Chopra; Lerrel Pinto (ICML, 2024)

BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. - Yuxuan Chen; Haoyan Yang; Hengkai Pan; Fardeen Siddiqui; Antonio Verdone; Qingyang Zhang; Sumit Chopra; Chen Zhao; Yiqiu Shen (MCHM@MM, 2024)

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis. - Haoxu Huang; Cem M. Deniz; Kyunghyun Cho; Sumit Chopra; Divyam Madaan (ML4H@NeurIPS, 2024)

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning. - Divyam Madaan; Taro Makino; Sumit Chopra; Kyunghyun Cho (NeurIPS, 2024)

A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. - Divyam Madaan; Taro Makino; Sumit Chopra; Kyunghyun Cho (CoRR, 2024)

A training regime to learn unified representations from complementary breast imaging modalities. - Umang Sharma; Jungkyu Park 001; Laura Heacock; Sumit Chopra; Krzysztof J. Geras (CoRR, 2024)

Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports. - Luoyao Chen; Revant Teotia; Antonio Verdone; Aidan Cardall; Lakshay Tyagi; Yiqiu Shen; Sumit Chopra (CoRR, 2024)

A review of the various applications and security issues in IoT and its future aspects. - Sumit Chopra; Gagandeep Singh Bains; Simranjot Kaur; Rajesh Sharma; Anchal Nayyar (Int. J. Secur. Networks, 2024)

A sequential convolutional neural network for image forgery detection. - Simranjot Kaur; Sumit Chopra; Anchal Nayyar; Rajesh Sharma; Gagandeep Singh (Multim. Tools Appl., 2024)

A Trust-Guided Approach to MR Image Reconstruction with Side Information. - Arda Atalik; Sumit Chopra; Daniel K. Sodickson (CoRR, 2025)

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. - Revant Teotia; Candace Ross; Karen Ullrich; Sumit Chopra; Adriana Romero-Soriano; Melissa Hall; Matthew J. Muckley (CoRR, 2025)