Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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11 results for Tejaswini Pedapati

Learning Global Transparent Models consistent with Local Contrastive Explanations
- - Tejaswini Pedapati
  - Avinash Balakrishnan
  - et al.
- 2020
- NeurIPS 2020
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
Efficient Neural Architecture Search
- - Tejaswini Pedapati
  - Martin Wistuba
- 2021
- AAAI 2021
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
- - Aamod Khatiwada
  - Harsha Kokel
  - et al.
- 2024
- NeurIPS 2024
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