Disha Shrivastava

According to our database, Disha Shrivastava authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Design Space for Intelligent and Interactive Writing Assistants.

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue

CoRR, 2024

2023

RepoFusion: Training Code Models to Understand Your Repository.

Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak

CoRR, 2023

Approach Intelligent Writing Assistants Usability with Seven Stages of Action.

Avinash Bhat, Disha Shrivastava, Jin L. C. Guo

CoRR, 2023

Repository-Level Prompt Generation for Large Language Models of Code.

Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

Proceedings of the International Conference on Machine Learning, 2023

2021

Learning to Combine Per-Example Solutions for Neural Program Synthesis.

Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Minimax and Neyman-Pearson Meta-Learning for Outlier Languages.

Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019

What is deemed computationally creative?

S. Agrawal, Anush Sankaran, Anirban Laha, Saneem A. Chemmengath, Disha Shrivastava, Karthik Sankaranarayanan

IBM J. Res. Dev., 2019

Transfer Learning by Modeling a Distribution over Policies.

Disha Shrivastava, Eeshan Gunesh Dhekane, Riashat Islam

CoRR, 2019

2018

Hypernyms Through Intra-Article Organization in Wikipedia.

Disha Shrivastava, Sreyash Kenkre, Santosh Penubothula

CoRR, 2018

Modeling Topical Coherence in Discourse without Supervision.

Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan

CoRR, 2018

2017

A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark.

Disha Shrivastava, Santanu Chaudhury, Jayadeva

CoRR, 2017

A Machine Learning Approach for Evaluating Creative Artifacts.

Disha Shrivastava, C. G. Saneem Ahmed, Anirban Laha, Karthik Sankaranarayanan

CoRR, 2017