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

Efficient Exploration with Failure Ratio for Deep Reinforcement Learning
- - Minori Narita
  - Daiki Kimura
- 2020
- AAAI 2020
Quality Management of Machine Learning Systems
- - Peter Santhanam
- 2020
- AAAI 2020
MonoNet: Towards Interpretable Models by Learning Monotonic Features
- - An-Phi Nguyen
  - Maria Rodriguez Martinez
- 2019
- NeurIPS 2019
Distributional Actor-Critic for Risk-Sensitive Multi-Agent Reinforcement Learning
- - Ngoc Lan Hoang
  - Edward Pyzer-Knapp
- 2019
- NeurIPS 2019
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- - Laura Gardiner
  - Anna Paola Carrieri
  - et al.
- 2019
- NeurIPS 2019
Domain-agnostic Construction of Domain-Specific Ontologies
- - Rosario Uceda-Sosa
  - Nandana Mihindukulasooriya
  - et al.
- 2019
- NeurIPS 2019
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
- - Newton Kinyanjui
  - Timothy Odonga
  - et al.
- 2019
- NeurIPS 2019
Breadth-first, Depth-next Training of Random Forests
- - Andreea Simona Anghel
  - Nikolas Ioannou
  - et al.
- 2019
- NeurIPS 2019
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
- - Subramanyas Shivashankar
  - Ioana Baldini Soares
  - et al.
- 2019
- NeurIPS 2019
PaccMann^RL: Designing anticancer drugs from transcriptomic data via reinforcement learning
- - Jannis Born
  - Matteo Manica
  - et al.
- 2019
- NeurIPS 2019