Sumit Chopra

According to our database1, Sumit Chopra authored at least 41 papers between 2001 and 2023.

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Bibliography

2023
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging.
CoRR, 2023

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease.
CoRR, 2023

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis.
Proceedings of the Medical Imaging with Deep Learning, 2023

Radiology Reports Improve Visual Representations Learned from Radiographs.
Proceedings of the Medical Imaging with Deep Learning, 2023

2020
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.
npj Digit. Medicine, 2020

2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
Deep neural network improves fracture detection by clinicians.
Proc. Natl. Acad. Sci. USA, 2018

StarSpace: Embed All The Things!
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Training Language Models Using Target-Propagation.
CoRR, 2017

Learning through Dialogue Interactions by Asking Questions.
Proceedings of the 5th International Conference on Learning Representations, 2017

Dialogue Learning With Human-in-the-Loop.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Sequence Level Training with Recurrent Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Learning Through Dialogue Interactions.
CoRR, 2016

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations.
Proceedings of the 4th International Conference on Learning Representations, 2016

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.
Proceedings of the 4th International Conference on Learning Representations, 2016

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

2015
Memory Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning Longer Memory in Recurrent Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Large-scale Simple Question Answering with Memory Networks.
CoRR, 2015

A Neural Attention Model for Abstractive Sentence Summarization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Video (language) modeling: a baseline for generative models of natural videos.
CoRR, 2014

#TagSpace: Semantic Embeddings from Hashtags.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Question Answering with Subgraph Embeddings.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2012
Two of a kind or the ratings game? Adaptive pairwise preferences and latent factor models.
Frontiers Comput. Sci., 2012

Collaborative ranking.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Computational Television Advertising.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Weakly supervised neural networks for Part-Of-Speech tagging.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification.
Proceedings of the INTERSPEECH 2011, 2011

Non-linear tagging models with localist and distributed word representations.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Feature-rich continuous language models for speech recognition.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

2009
Factor Graphs for Relational Regression.
PhD thesis, 2009

2007
Output-sensitive algorithms for optimally constructing the upper envelope of straight line segments in parallel.
J. Parallel Distributed Comput., 2007

A Unified Energy-Based Framework for Unsupervised Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Discovering the hidden structure of house prices with a non-parametric latent manifold model.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Energy-Based Models in Document Recognition and Computer Vision.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Efficient Learning of Sparse Representations with an Energy-Based Model.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Dimensionality Reduction by Learning an Invariant Mapping.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Learning a Similarity Metric Discriminatively, with Application to Face Verification.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003
An Experimental Study of <i>k</i>-Splittable Scheduling for DNS-Based Traffic Allocation.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

2001
Optimal, Output-Sensitive Algorithms for Constructing Upper Envelope of Line Segments in Parallel.
Proceedings of the FST TCS 2001: Foundations of Software Technology and Theoretical Computer Science, 2001


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