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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175 results for Automated AI

Incremental training of deep convolutional neural networks
- - Roxana Istrate
  - Cristiano Malossi
  - et al.
- 2017
- AutoML 2017
AUTOMATES: THE SECOND INTERNATIONAL WORKSHOP ON NO-CODE COPILOTS
- - Segev Shlomov
  - Ronen Brafman
  - et al.
- 2024
- IJCAI 2024
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ IJCAI 2023)
- - Cameron Allen
  - Timo Gros
  - et al.
- 2023
- IJCAI 2023
Auto-Mates: The Future of No-Code Digital Apprentices
- - Segev Shlomov
  - Avi Yaeli
  - et al.
- 2023
- IJCAI 2023
Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
- - Nora Abdelmageed
  - Jiaoyan Chen
  - et al.
- 2022
- ISWC 2022
Document Intelligence 2022
- - Doug Burdick
  - Benjamin Han
  - et al.
- 2022
- KDD 2022
Data Quality Assessment for Machine Learning
- - Hima Patel
  - Fuyuki Ishikawa
  - et al.
- 2021
- KDD 2021
Enterprise Benchmarks for Large Language Model Evaluation
- - Bing Zhang
  - Mikio Takeuchi
  - et al.
- 2024
- arXiv
AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
- - Raúl Fernández Díaz
  - Rodrigo Cossio-pérez
  - et al.
- 2024
- Bioinformatics
TensorBank: Tensor Lakehouse for Foundation Model Training
- - Romeo Kienzler
  - Johannes Schmude
  - et al.
- 2023
- Big Data 2023