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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Second Order Techniques for Learning Time-Series with Structural Breaks
- - Takayuki Osogami
- 2021
- AAAI 2021
Learning Prediction Intervals for Model Performance
- - Benjamin Elder
  - Matthew Arnold
  - et al.
- 2021
- AAAI 2021
Submodel Decomposition Bounds for Influence Diagrams
- - Junkyu Lee
  - Radu Marinescu
  - et al.
- 2021
- AAAI 2021
Self-Progressing Robust Training
- - Minhao Cheng
  - Pin-Yu Chen
  - et al.
- 2021
- AAAI 2021
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
- - Maurício Gruppi
  - Sibel Adalı
  - et al.
- 2021
- AAAI 2021
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning
- - Wei Zhang
  - Murray Campbell
  - et al.
- 2021
- AAAI 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
- - Maxwell Crouse
  - Ibrahim Abdelaziz
  - et al.
- 2021
- AAAI 2021
Anomaly Attribution with Likelihood Compensation
- - Tsuyoshi Ide
  - Amit Dhurandhar
  - et al.
- 2021
- AAAI 2021
Self-correcting Q-learning
- - Rong Zhu
  - Mattia Rigotti
- 2021
- AAAI 2021
Neural Analogical Matching
- - Maxwell Crouse
  - Constantine Nakos
  - et al.
- 2021
- AAAI 2021