Learning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
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11 results for Tejaswini Pedapati
Learning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 2020
- ICML 2020
Dataset evolver: An interactive feature engineering notebook
- Fatemeh Nargesian
- Udayan Khurana
- et al.
- 2018
- AAAI 2018
Foresight: Recommending visual insights
- Cagatay Demiralp
- Peter J. Haas
- et al.
- 2017
- VLDB 2017
AutoText: An End-to-End AutoAI Framework for Text
- Arunima Chaudhary
- Alayt Issak
- et al.
- 2021
- AAAI 2021
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
- Aamod Khatiwada
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024
Efficient Neural Architecture Search
- Tejaswini Pedapati
- Martin Wistuba
- 2021
- AAAI 2021
Multihop: Leveraging Complex Models to Learn Accurate Simple Models
- Amit Dhurandhar
- Tejaswini Pedapati
- 2022
- ICKG 2022
Survey on Automated End-to-End Data Science?
- Djallel Bouneffouf
- Charu Aggarwal
- et al.
- 2020
- IJCNN 2020
Automation of deep learning - Theory and practice
- Martin Wistuba
- Ambrish Rawat
- et al.
- 2020
- ICMR 2020