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

Pessimistic Model Selection for Offline Deep Reinforcement Learning
- - Chao-Han Huck Yang
  - Zhengling Qi
  - et al.
- 2021
- NeurIPS 2021
Fair Data Generation using Language Models with Hard Constraints
- - SK Mainul Islam
  - Abhinav Nagpal
  - et al.
- 2021
- NeurIPS 2021
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
- - Kofi Arhin
  - Ioana Baldini Soares
  - et al.
- 2021
- NeurIPS 2021
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
- - Pavithra Harsha
  - Ashish Jagmohan
  - et al.
- 2021
- NeurIPS 2021
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence Design
- - Devleena Das
  - Inkit Padhi
  - et al.
- 2021
- NeurIPS 2021
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
- - Claudio Santos Pinhanez
- 2021
- NeurIPS 2021
Automated Supervised Feature Selection for Differentiated Patterns of Care
- - Catherine Wanjiru
  - William Ogallo
  - et al.
- 2021
- NeurIPS 2021
Post-discovery Analysis of Anomalous Subsets
- - Isaiah Onando Mulang’
  - William Ogallo
  - et al.
- 2021
- NeurIPS 2021
Robust Text Perturbation using Sequence-to-Sequence Pre-Training
- - Nishtha Madaan
  - Diptikalyan Saha
  - et al.
- 2021
- NeurIPS 2021
Detecting model drift using polynomial relations
- - Eliran Roffe
  - Samuel Ackerman
  - et al.
- 2022
- AAAI 2022