Kiran Kate

According to our database, Kiran Kate authored at least 26 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.

Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi

CoRR, 2024

Out of style: Misadventures with LLMs and code style transfer.

Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas

CoRR, 2024

AI for Low-Code for AI.

Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning.

KrishnaTeja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer

CoRR, 2023

Towards large language model-based personal agents in the enterprise: Current trends and open problems.

Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Searching for Fairer Machine Learning Ensembles.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

Proceedings of the International Conference on Automated Machine Learning, 2023

CodeStylist: A System for Performing Code Style Transfer Using Neural Networks.

Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Navigating Ensemble Configurations for Algorithmic Fairness.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

CoRR, 2022

Exploring Code Style Transfer with Neural Networks.

Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas

CoRR, 2022

An Empirical Study of Modular Bias Mitigators and Ensembles.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

CoRR, 2022

Gradual AutoML using Lale.

Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Pipeline Combinators for Gradual AutoML.

Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay

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

AutoText: An End-to-End AutoAI Framework for Text.

Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Thinking Fast and Slow in AI.

Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Lale: Consistent Automated Machine Learning.

Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar

CoRR, 2020

Mining Documentation to Extract Hyperparameter Schemas.

Guillaume Baudart, Peter D. Kirchner, Martin Hirzel, Kiran Kate

CoRR, 2020

2019

Type-Driven Automated Learning with Lale.

Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram

CoRR, 2019

A semi-supervised deep learning algorithm for abnormal EEG identification.

Subhrajit Roy, Kiran Kate, Martin Hirzel

CoRR, 2019

Machine learning in Python with no strings attached.

Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019

2018

Yaps: Python Frontend to Stan.

Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar

CoRR, 2018

2014

InfoSuggest: A System for Automated Information Gathering: With a Real-World Case Study.

Kiran Kate, Andy Prapanca, Jayant Kalagnanam

Proceedings of the 2014 Annual SRII Global Conference, 2014

Monitoring Food Safety Violation Reports from Internet Forums.

Kiran Kate, Sumit Negi, Jayant Kalagnanam

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

FoodSIS: a text mining system to improve the state of food safety in singapore.

Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2010

A Gradient Descent Approach for Multi-modal Biometric Identification.

Jayanta Basak, Kiran Kate, Vivek Tyagi, Nalini K. Ratha

Proceedings of the 20th International Conference on Pattern Recognition, 2010

QPLC: A novel multimodal biometric score fusion method.

Jayanta Basak, Kiran Kate, Vivek Tyagi, Nalini K. Ratha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Epsilon Equitable Partition: A positional analysis method for large social networks.

Kiran Kate, Balaraman Ravindran

Proceedings of the 15th International Conference on Management of Data, 2009