The articles and book chapters that your community is reading and citing will, inevitably, influence the research direction of the field. And that makes those articles and book chapters required reading for everyone in the field.
The articles and book chapters below are among the most downloaded and cited. This is the recent work that your colleagues and collaborators are reading, and that means you should become familiar with it too.
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and BeyondInternational Journal of Computer Vision | A survey of uncertainty in deep neural networksArtificial Intelligence Review | Data-driven consensus control of fully distributed event-triggered multi-agent systemsScience China Information Sciences |
Theory of overparametrization in quantum neural networksNature Computational Science | A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental frameworkMachine Learning | Quantum AI simulator using a hybrid CPU–FPGA approachScientific Reports |
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPTNature Computational Science | Forex market forecasting using machine learning: Systematic Literature Review and meta-analysisJournal of Big Data | Knowledge Graphs: Opportunities and ChallengesArtificial Intelligence Review |
Eye Tracking in Virtual Reality: a Broad Review of Applications and ChallengesVirtual Reality | PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference TransformerInternational Journal of Computer Vision | Classifier calibration: a survey on how to assess and improve predicted class probabilitiesMachine Learning |
Fundamentals of All the Realities: Virtual, Augmented, Mediated, Multimediated, and BeyondSpringer Handbook of Augmented Reality | Introduction to Reinforcement LearningReinforcement Learning for Sequential Decision and Optimal Control | An Introduction to Neural NetworksNeural Networks and Deep Learning |
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