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 | 681 | 2019 |
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 | 140 | 2020 |
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 | 133 | 2022 |
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 | 111 | 2021 |
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 | 56 | 2023 |
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 | 51 | 2022 |
Machine Translation: A Literature Review A Garg, M Agarwal arXiv preprint arXiv:1901.01122, 2018 | 48 | 2018 |
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 | 34 | 2019 |
On sensitivity of meta-learning to support data M Agarwal, M Yurochkin, Y Sun Advances in Neural Information Processing Systems 34, 2021 | 21 | 2021 |
A Bandit Approach to Posterior Dialog Orchestration Under a Budget S Upadhyay, M Agarwal, D Bounneffouf, Y Khazaeni 2nd Conversational AI workshop, NeurIPS, 2018 | 21 | 2018 |
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 | 13 | 2023 |
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 | 11 | 2022 |
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 | 11 | 2021 |
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 | 10 | 2021 |
Quality Estimation & Interpretability for Code Translation M Agarwal, K Talamadupula, S Houde, F Martinez, M Muller, J Richards, ... arXiv preprint arXiv:2012.07581, 2020 | 10 | 2020 |
Optimal coordination of overcurrent relays using genetic algorithm and simulated annealing VS Kale, M Agarwal, PD Kesarkar, DR Regmi, A Chaudhary, C Killawala Proceedings of The 2014 International Conference on Control, Instrumentation …, 2014 | 9 | 2014 |
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 | 8 | 2022 |
Determining a test confidence metric for a testing application M Agarwal, JPS Vadlamani, W Mui US Patent 10,558,559, 2020 | 8 | 2020 |
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 | 7 | 2024 |