Sumit Chopra - RankMe

68 papers A* 13A 4Misc 2Journal 30Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Trust-Guided Approach to MR Image Reconstruction With Side Information. IEEE Trans. Medical Imaging Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2026	J	`jnl`	Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling. CoRR Divyam Madaan, Sumit Chopra, Kyunghyun Cho
2025	J	`jnl`	A Trust-Guided Approach to MR Image Reconstruction with Side Information. CoRR Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2025	J	`jnl`	DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. CoRR Revant Teotia, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, Matthew J. Muckley
2025	—	`conf`	Harnessing Side Information for Highly Accelerated MRI. MICCAI (13) Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2025	J	`jnl`	Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional. CoRR Divyam Madaan, Varshan Muhunthan, Kyunghyun Cho, Sumit Chopra
2025	J	`jnl`	Temporal Generalization: A Reality Check. CoRR Divyam Madaan, Sumit Chopra, Kyunghyun Cho
2024	J	`jnl`	A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
2024	J	`jnl`	A review of the various applications and security issues in IoT and its future aspects. Int. J. Secur. Networks Sumit Chopra, Gagandeep Singh Bains, Simranjot Kaur, Rajesh Sharma, Anchal Nayyar
2024	J	`jnl`	A sequential convolutional neural network for image forgery detection. Multim. Tools Appl. Simranjot Kaur, Sumit Chopra, Anchal Nayyar, Rajesh Sharma, Gagandeep Singh
2024	J	`jnl`	A training regime to learn unified representations from complementary breast imaging modalities. CoRR Umang Sharma, Jungkyu Park, Laura Heacock, Sumit Chopra, Krzysztof J. Geras
2024	A*	`conf`	Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. ICML Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto
2024	J	`jnl`	Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction. CoRR Chen-Yu Yen, Raghav Singhal, Umang Sharma, Rajesh Ranganath, Sumit Chopra, Lerrel Pinto
2024	—	`conf`	BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. MCHM@MM Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen
2024	J	`jnl`	BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. CoRR Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen
2024	J	`jnl`	Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports. CoRR Luoyao Chen, Revant Teotia, Antonio Verdone, Aidan Cardall, Lakshay Tyagi, Yiqiu Shen, Sumit Chopra
2024	—	`conf`	HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis. ML4H@NeurIPS Haoxu Huang, Cem M. Deniz, Kyunghyun Cho, Sumit Chopra, Divyam Madaan
2024	J	`jnl`	HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis. CoRR Haoxu Huang, Cem M. Deniz, Kyunghyun Cho, Sumit Chopra, Divyam Madaan
2024	A*	`conf`	Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning. NeurIPS Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
2023	—	`conf`	Comparing Machine Learning Feature Selection Methods for Dementia Anatomical Brain MRI. SITIS Ankur Sharma, Sumit Chopra, Vijay Kumar Banga, Thaweesak Yingthawornsuk
2023	J	`jnl`	FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR 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
2023	—	`conf`	On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
2023	J	`jnl`	On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
2023	J	`jnl`	On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
2023	—	`conf`	Radiology Reports Improve Visual Representations Learned from Radiographs. MIDL Haoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz
2020	J	`jnl`	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 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
2019	—	`conf`	Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
2019	J	`jnl`	Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
2018	J	`jnl`	Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter
2018	A*	`conf`	StarSpace: Embed All The Things! AAAI Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston
2017	—	`conf`	Dialogue Learning With Human-in-the-Loop. ICLR (Poster) Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2017	—	`conf`	Learning through Dialogue Interactions by Asking Questions. ICLR (Poster) Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2017	J	`jnl`	StarSpace: Embed All The Things! CoRR Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston
2017	J	`jnl`	Training Language Models Using Target-Propagation. CoRR Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache
2016	—	`conf`	Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL Sumit Chopra, Michael Auli, Alexander M. Rush
2016	J	`jnl`	Dialogue Learning With Human-In-The-Loop. CoRR Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2016	A*	`conf`	Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. ICLR (Poster) Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston
2016	J	`jnl`	Learning Through Dialogue Interactions. CoRR Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston
2016	A*	`conf`	Sequence Level Training with Recurrent Neural Networks. ICLR (Poster) Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
2016	A*	`conf`	The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. ICLR Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
2016	A*	`conf`	Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. ICLR (Poster) Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov
2015	A*	`conf`	A Neural Attention Model for Abstractive Sentence Summarization. EMNLP Alexander M. Rush, Sumit Chopra, Jason Weston
2015	J	`jnl`	A Neural Attention Model for Abstractive Sentence Summarization. CoRR Alexander M. Rush, Sumit Chopra, Jason Weston
2015	J	`jnl`	Large-scale Simple Question Answering with Memory Networks. CoRR Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
2015	—	`conf`	Learning Longer Memory in Recurrent Neural Networks. ICLR (Workshop) Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato
2015	—	`conf`	Memory Networks. ICLR Jason Weston, Sumit Chopra, Antoine Bordes
2014	A*	`conf`	#TagSpace: Semantic Embeddings from Hashtags. EMNLP Jason Weston, Sumit Chopra, Keith Adams
2014	A*	`conf`	Question Answering with Subgraph Embeddings. EMNLP Antoine Bordes, Sumit Chopra, Jason Weston
2014	J	`jnl`	Question Answering with Subgraph Embeddings. CoRR Antoine Bordes, Sumit Chopra, Jason Weston
2014	J	`jnl`	Video (language) modeling: a baseline for generative models of natural videos. CoRR Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra
2012	A	`conf`	Collaborative ranking. WSDM Suhrid Balakrishnan, Sumit Chopra
2012	A*	`conf`	Computational Television Advertising. ICDM Suhrid Balakrishnan, Sumit Chopra, David L. Applegate, Simon Urbanek
2012	J	`jnl`	Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models. Frontiers Comput. Sci. Suhrid Balakrishnan, Sumit Chopra
2012	Misc	`conf`	Weakly supervised neural networks for Part-Of-Speech tagging. ICASSP Sumit Chopra, Srinivas Bangalore
2011	A	`conf`	Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification. INTERSPEECH Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis
2011	Misc	`conf`	Non-linear tagging models with localist and distributed word representations. ICASSP Sumit Chopra, Srinivas Bangalore
2010	—	`conf`	Feature-rich continuous language models for speech recognition. SLT Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore
2010	A*	`conf`	Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models. ICDM Suhrid Balakrishnan, Sumit Chopra
2009	—	`—`	Factor Graphs for Relational Regression. Sumit Chopra
2007	A	`conf`	A Unified Energy-Based Framework for Unsupervised Learning. AISTATS Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun
2007	A*	`conf`	Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun
2007	A	`conf`	Energy-Based Models in Document Recognition and Computer Vision. ICDAR Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang
2007	J	`jnl`	Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel. J. Parallel Distributed Comput. Neelima Gupta, Sumit Chopra
2006	—	`conf`	Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) Raia Hadsell, Sumit Chopra, Yann LeCun
2006	—	`conf`	Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun
2005	—	`conf`	Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) Sumit Chopra, Raia Hadsell, Yann LeCun
2003	—	`conf`	An Experimental Study of Euro-Par Amit Agarwal, Tarun Agarwal, Sumit Chopra, Anja Feldmann, Nils Kammenhuber, Piotr Krysta, Berthold Vöcking
2001	—	`conf`	Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel. FSTTCS Neelima Gupta, Sumit Chopra, Sandeep Sen