Search Results for author: Sumit Chopra

Found 19 papers, 16 papers with code

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

1 code implementation23 Jun 2023 Divyam Madaan, Daniel Sodickson, Kyunghyun Cho, Sumit Chopra

However, the image reconstruction process within the MRI pipeline, which requires the use of complex hardware and adjustment of a large number of scanner parameters, is highly susceptible to noise of various forms, resulting in arbitrary artifacts within the images.

Image Reconstruction

Generative Image Translation for Data Augmentation of Bone Lesion Pathology

no code implementations6 Feb 2019 Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig

Insufficient training data and severe class imbalance are often limiting factors when developing machine learning models for the classification of rare diseases.

Binary Classification Data Augmentation +5

StarSpace: Embed All The Things!

3 code implementations12 Sep 2017 Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Collaborative Filtering Text Classification +1

Training Language Models Using Target-Propagation

1 code implementation15 Feb 2017 Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache

While Truncated Back-Propagation through Time (BPTT) is the most popular approach to training Recurrent Neural Networks (RNNs), it suffers from being inherently sequential (making parallelization difficult) and from truncating gradient flow between distant time-steps.

Learning through Dialogue Interactions by Asking Questions

2 code implementations15 Dec 2016 Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

A good dialogue agent should have the ability to interact with users by both responding to questions and by asking questions, and importantly to learn from both types of interaction.

reinforcement-learning Reinforcement Learning (RL)

Dialogue Learning With Human-In-The-Loop

2 code implementations29 Nov 2016 Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

An important aspect of developing conversational agents is to give a bot the ability to improve through communicating with humans and to learn from the mistakes that it makes.

Question Answering reinforcement-learning +1

Large-scale Simple Question Answering with Memory Networks

3 code implementations5 Jun 2015 Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston

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

 Ranked #1 on Question Answering on WebQuestions (F1 metric)

Question Answering Transfer Learning

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

19 code implementations19 Feb 2015 Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, Tomas Mikolov

One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent.

Question Answering Reading Comprehension

Learning Longer Memory in Recurrent Neural Networks

5 code implementations24 Dec 2014 Tomas Mikolov, Armand Joulin, Sumit Chopra, Michael Mathieu, Marc'Aurelio Ranzato

In this paper, we show that learning longer term patterns in real data, such as in natural language, is perfectly possible using gradient descent.

Language Modelling

Memory Networks

5 code implementations15 Oct 2014 Jason Weston, Sumit Chopra, Antoine Bordes

We describe a new class of learning models called memory networks.

Question Answering

Question Answering with Subgraph Embeddings

1 code implementation EMNLP 2014 Antoine Bordes, Sumit Chopra, Jason Weston

Training our system using pairs of questions and structured representations of their answers, and pairs of question paraphrases, yields competitive results on a competitive benchmark of the literature.

Question Answering

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