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S. Chopra

17 papers hereh-index 2927.6k citations120 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author15
  • last author2

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL4
  • cs.LG4
  • eess.IV3
same name
  • S. Chopra — 3 papers, h 24
  • S. Chopra — 2 papers, h 30
  • S. Chopra — 1 paper, h 1
  • S. Chopra — 1 paper, h 8
  • S. Chopra — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedLarge-scale Simple Question Answering with Memory Networks

566 citations · 699 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

Temporal Generalization: A Reality Check

Divyam Madaan, Sumit Chopra, Kyunghyun Cho

Machine learning (ML) models often struggle to maintain performance under distribution shifts, leading to inaccurate predictions on unseen future data. In this work, we investigate…

cs.LG2024★ 2 cited

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Chen-Yu Yen, Raghav Singhal, Umang Sharma +3

Magnetic Resonance (MR) imaging, despite its proven diagnostic utility, remains an inaccessible imaging modality for disease surveillance at the population level. A major factor re…

cs.LG2019★ 30 cited

Generative Image Translation for Data Augmentation of Bone Lesion Pathology

Anant Gupta, Srivas Venkatesh, Sumit Chopra +1

Insufficient training data and severe class imbalance are often limiting factors when developing machine learning models for the classification of rare diseases. In this work, we a…

cs.LG2015★ 566 cited

Large-scale Simple Question Answering with Memory Networks

Antoine Bordes, Nicolas Usunier, Sumit Chopra +1

Training large-scale question answering systems is complicated because training sources usually cover a small portion of the range of possible questions. This paper studies the imp…

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