Follow
Mayank Agarwal
Mayank Agarwal
Senior Research Engineer, IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni
International Conference on Machine Learning, 7252-7261, 2019
7642019
IBM Federated Learning: an Enterprise Framework White Paper V0. 1
H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ...
arXiv preprint arXiv:2007.10987, 2020
1592020
Investigating Explainability of Generative AI for Code through Scenario-based Design
J Sun, QV Liao, M Muller, M Agarwal, S Houde, K Talamadupula, ...
27th International Conference on Intelligent User Interfaces, 212-228, 2022
1572022
Perfection Not Required? Human-AI Partnerships in Code Translation
JD Weisz, M Muller, S Houde, J Richards, SI Ross, F Martinez, M Agarwal, ...
26th International Conference on Intelligent User Interfaces, 402-412, 2021
1272021
Better Together? An Evaluation of AI-Supported Code Translation
JD Weisz, M Muller, SI Ross, F Martinez, S Houde, M Agarwal, ...
27th International Conference on Intelligent User Interfaces, 369-391, 2022
642022
Flexible artificial intelligence agent infrastructure for adapting processing of a shell
T Chakraborti, M Agarwal, EM Dow, K Talamadupula, K Fadnis, ...
US Patent 11,748,128, 2023
602023
Machine Translation: A Literature Review
A Garg, M Agarwal
arXiv preprint arXiv:1901.01122, 2018
512018
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in Neural Information Processing Systems, 10956-10966, 2019
392019
On sensitivity of meta-learning to support data
M Agarwal, M Yurochkin, Y Sun
Advances in Neural Information Processing Systems 34, 2021
222021
A Bandit Approach to Posterior Dialog Orchestration Under a Budget
S Upadhyay, M Agarwal, D Bounneffouf, Y Khazaeni
2nd Conversational AI workshop, NeurIPS, 2018
212018
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ...
arXiv preprint arXiv:2405.04324, 2024
182024
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
Z Ashktorab, B Hoover, M Agarwal, C Dugan, W Geyer, HB Yang, ...
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
182023
Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents
M Agarwal, JJ Barroso, T Chakraborti, EM Dow, K Fadnis, B Godoy, ...
arXiv preprint arXiv:2002.00762, 2020
12*2020
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering
M Muller, S Ross, S Houde, M Agarwal, F Martinez, J Richards, ...
HAI-GEN Workshop at IUI 2022: 3rd Workshop on Human-AI Co-Creation with …, 2022
112022
Using Document Similarity Methods to create Parallel Datasets for Code Translation
M Agarwal, K Talamadupula, F Martinez, S Houde, M Muller, J Richards, ...
arXiv preprint arXiv:2110.05423, 2021
112021
Neurips 2020 nlc2cmd competition: Translating natural language to bash commands
M Agarwal, T Chakraborti, Q Fu, D Gros, XV Lin, J Maene, ...
NeurIPS 2020 Competition and Demonstration Track, 302-324, 2021
102021
Quality Estimation & Interpretability for Code Translation
M Agarwal, K Talamadupula, S Houde, F Martinez, M Muller, J Richards, ...
arXiv preprint arXiv:2012.07581, 2020
102020
Opportunities for Generative AI in UX Modernization
S Houde, S Ross, M Muller, M Agarwal, FC Martinez, J Richards, ...
ACM International Conference on Intelligent User Interfaces, 2022
92022
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.
MJ Muller, AY Wang, SI Ross, JD Weisz, M Agarwal, K Talamadupula, ...
IUI Workshops, 2021
92021
Determining a test confidence metric for a testing application
M Agarwal, JPS Vadlamani, W Mui
US Patent 10,558,559, 2020
92020
The system can't perform the operation now. Try again later.
Articles 1–20