Chopra, Sumit

16 publications

ICCV 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 Muckley

ICML 2024 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

NeurIPS 2024 Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-Modal Learning Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho

AAAI 2018 StarSpace: Embed All the Things! Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

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

ICLR 2017 Learning Through Dialogue Interactions by Asking Questions Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

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

ICLR 2016 Sequence Level Training with Recurrent Neural Networks Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba

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

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

ICLR 2015 Learning Longer Memory in Recurrent Neural Networks Tomás Mikolov, Armand Joulin, Sumit Chopra, Michaël Mathieu, Marc'Aurelio Ranzato

ICLR 2015 Memory Networks Jason Weston, Sumit Chopra, Antoine Bordes

AISTATS 2007 A Unified Energy-Based Framework for Unsupervised Learning Marc’Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun

CVPR 2006 Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun

NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra, Yann L. Cun

CVPR 2005 Learning a Similarity Metric Discriminatively, with Application to Face Verification Sumit Chopra, Raia Hadsell, Yann LeCun