Modular Prompt Learning Improves Vision-Language Models
- Zhenhan Huang
- Tejaswini Pedapati
- et al.
- 2025
- ICASSP 2025
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16 results for Tejaswini Pedapati
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
- Bharat Runwal
- Tejaswini Pedapati
- et al.
- 2025
- AAAI 2025
EvalAssist: LLM-as-a-judge simplified
- Michael Desmond
- Zahra Ashktorab
- et al.
- 2025
- AAAI 2025
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
- Aamod Khatiwada
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024
Network properties determine neural network performance
- Chunheng Jiang
- Zhenhan Huang
- et al.
- 2024
- Nature Communications
Model Agnostic Contrastive Explanations for Classification Models
- Amit Dhurandhar
- Tejaswini Pedapati
- et al.
- 2024
- IEEE JESTCS
Multihop: Leveraging Complex Models to Learn Accurate Simple Models
- Amit Dhurandhar
- Tejaswini Pedapati
- 2022
- ICKG 2022
AutoText: An End-to-End AutoAI Framework for Text
- Arunima Chaudhary
- Alayt Issak
- et al.
- 2021
- AAAI 2021
Efficient Neural Architecture Search
- Tejaswini Pedapati
- Martin Wistuba
- 2021
- AAAI 2021
Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020