IBM Research is tackling some of AI's greatest challenges. Our scientists and engineers focus on fundamental scientific breakthroughs to help guide the advancement of AI. Browse some of our latest publications spanning a wide range of core AI disciplines.

computer vision publications

Access IBM Research's computer vision publications accepted to CVPR (2018)

computer vision publications

Explore IBM Research's publications on AI hardware and architectures

Recent publications

Dialog-based Interactive Image Retrieval

H. Wu, X. Guo, Y. Cheng, S. J. Rennie, G. Tesauro and R. S. Feris

The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues

M. Merler, D. Joshi, K.-N. C. Mac, Q.-B. Nguyen, J. Kent, S. Hammer, J. Xiong, M. N. Do, J. R. Smith and R. S. Feris

NISP: Pruning Networks using Neuron Importance Score Propagation

R. Yu, A. Li, C.-F. Chen, J.-H. Lai, V. Morariu, X. Han, M. Gao, C.-Y. Lin and L. Davis

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Adversarial Networks

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Computer vision

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Hardware and Architectures for AI

Machine Learning

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Reinforcement Learning


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NIPS (2018)

EMNLP (2018)

KDD (2018)

ACL (2018)


ICML (2018)

CVPR (2018)

AAAI (2018)

ICLR (2018)

AIES (2018)

NIPS (2017)

CVPR (2017)

IAAI (2017)