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Kiran Kate
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2020 – today
- 2024
- [c15]Nikitha Rao
, Jason Tsay
AI for Low-Code for AI. IUI 2024: 837-852 - [i13]Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas:
Out of style: Misadventures with LLMs and code style transfer. CoRR abs/2406.10320 (2024) - [i12]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:
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR abs/2409.03797 (2024) - 2023
- [c14]Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas:
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. AAAI 2023: 16485-16487 - [c13]Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar:
Searching for Fairer Machine Learning Ensembles. AutoML 2023: 17/1-19 - [c12]Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube:
Towards large language model-based personal agents in the enterprise: Current trends and open problems. EMNLP (Findings) 2023: 6909-6921 - [i11]KrishnaTeja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer:
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. CoRR abs/2301.13287 (2023) - [i10]Nikitha Rao, Jason Tsay, Kiran Kate, Vincent J. Hellendoorn, Martin Hirzel:
AI for Low-Code for AI. CoRR abs/2305.20015 (2023) - 2022
- [c11]Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay:
Gradual AutoML using Lale. KDD 2022: 4794-4795 - [i9]Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar:
An Empirical Study of Modular Bias Mitigators and Ensembles. CoRR abs/2202.00751 (2022) - [i8]Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas:
Exploring Code Style Transfer with Neural Networks. CoRR abs/2209.06273 (2022) - [i7]Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar:
Navigating Ensemble Configurations for Algorithmic Fairness. CoRR abs/2210.05594 (2022) - 2021
- [c10]Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava:
Thinking Fast and Slow in AI. AAAI 2021: 15042-15046 - [c9]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:
AutoText: An End-to-End AutoAI Framework for Text. AAAI 2021: 16001-16003 - [c8]Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay:
Pipeline Combinators for Gradual AutoML. NeurIPS 2021: 19705-19718 - 2020
- [i6]Guillaume Baudart, Peter D. Kirchner, Martin Hirzel, Kiran Kate:
Mining Documentation to Extract Hyperparameter Schemas. CoRR abs/2006.16984 (2020) - [i5]Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar:
Lale: Consistent Automated Machine Learning. CoRR abs/2007.01977 (2020) - [i4]Grady Booch, Francesco Fabiano
Thinking Fast and Slow in AI. CoRR abs/2010.06002 (2020)
2010 – 2019
- 2019
- [c7]Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar:
Machine learning in Python with no strings attached. MAPL@PLDI 2019: 1-9 - [i3]Subhrajit Roy, Kiran Kate, Martin Hirzel:
A semi-supervised deep learning algorithm for abnormal EEG identification. CoRR abs/1903.07822 (2019) - [i2]Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram:
Type-Driven Automated Learning with Lale. CoRR abs/1906.03957 (2019) - 2018
- [i1]Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar:
Yaps: Python Frontend to Stan. CoRR abs/1812.04125 (2018) - 2014
- [c6]Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam:
FoodSIS: a text mining system to improve the state of food safety in singapore. KDD 2014: 1709-1718 - [c5]Kiran Kate, Sumit Negi, Jayant Kalagnanam:
Monitoring Food Safety Violation Reports from Internet Forums. MIE 2014: 1090-1094 - [c4]Kiran Kate, Andy Prapanca, Jayant Kalagnanam:
InfoSuggest: A System for Automated Information Gathering: With a Real-World Case Study. SRII Global Conference 2014: 203-212 - 2010
- [c3]Jayanta Basak, Kiran Kate, Vivek Tyagi
QPLC: A novel multimodal biometric score fusion method. CVPR Workshops 2010: 46-52 - [c2]Jayanta Basak, Kiran Kate, Vivek Tyagi
A Gradient Descent Approach for Multi-modal Biometric Identification. ICPR 2010: 1322-1325
2000 – 2009
- 2009
- [c1]Kiran Kate, Balaraman Ravindran:
Epsilon Equitable Partition: A positional analysis method for large social networks. COMAD 2009
Coauthor Index
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