Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

105 results for Automated AI

FETA: Towards Specializing Foundational Models for Expert Task Applications
- - Amit Alfassy
  - Assaf Arbelle
  - et al.
- 2022
- NeurIPS 2022
Auto-Transfer: Learning to Route Transferable Representations
- - Keerthiram Murugesan
  - Vijay Sadashivaiah
  - et al.
- 2022
- ICLR 2022
Learn more about our Automated AI work
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FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
- - Zheng Chai
  - Yujing Chen
  - et al.
- 2021
- SC 2021
Pipeline Combinators for Gradual AutoML
- - Guillaume Baudart
  - Martin Hirzel
  - et al.
- 2021
- NeurIPS 2021
Search-based Methods for Multi-Cloud Configuration
- - Malgorzata Lazuka
  - Thomas Parnell
  - et al.
- 2022
- CLOUD 2022
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness
- - Christoph Auer
  - Michele Dolfi
  - et al.
- 2022
- CLOUD 2022
SnapBoost: A Heterogeneous Boosting Machine
- - Thomas Parnell
  - Andreea Anghel
  - et al.
- 2020
- NeurIPS 2020
Effective Elastic Scaling of Deep Learning Workloads
- - Vaibhav Saxena
  - K. R. Jayaram
  - et al.
- 2020
- MASCOTS 2020
Thymesisflow: A software-defined, HW/SW co-designed interconnect stack for rack-scale memory disaggregation
- - Christian Pinto
  - Dimitris Syrivelis
  - et al.
- 2020
- MICRO 2020
Learning to rank learning curves
- - Martin Wistuba
  - Tejaswini Pedapati
- 2020
- ICML 2020