Pedapati, Tejaswini

12 publications

IJCAI 2025 Differentiable Prompt Learning for Vision Language Models Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao
AAAI 2025 EvalAssist: LLM-as-a-Judge Simplified Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martín Santillán Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati
AAAI 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
TMLR 2025 Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri
ICLR 2025 Large Language Models Can Become Strong Self-Detoxifiers Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
ICLRW 2025 Sparse Gradient Compression for Fine-Tuning Large Language Models David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen
NeurIPSW 2024 TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery over Data Lakes Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
AAAI 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
NeurIPS 2021 CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions Isha Puri, Amit Dhurandhar, Tejaswini Pedapati, Karthikeyan Shanmugam, Dennis Wei, Kush R Varshney
NeurIPS 2020 Learning Global Transparent Models Consistent with Local Contrastive Explanations Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar
ICML 2020 Learning to Rank Learning Curves Martin Wistuba, Tejaswini Pedapati
AAAI 2018 Dataset Evolver: An Interactive Feature Engineering Notebook Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga