Most cited computer science papers
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Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Lu, P., Qiu, L., Chang, K.-W., Wu, Y. N., Zhu, S.-C., Rajpurohit, T., Clark, P., & Kalyan, A. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 45
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Towards Unbiased and Accurate Deferral to Multiple Experts
Keswani, V., Lease, M., & Kenthapadi, K. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AIMachine Learning and Algorithms
Cited by 45
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Distributed learning over unreliable networks
Yu, C., Tang, H., Renggli, C., Kassing, S., Singla, A., Alistarh, D., Zhang, C., & Liu, J. (2018) · arXiv
Stochastic Gradient Optimization TechniquesDistributed systems and fault tolerance
Cited by 45
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Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Dehghani, M., Mustafa, B., Djolonga, J., Heek, J., Minderer, M., Caron, M., Steiner, A., Puigcerver, J., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 45
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Language models: past, present, and future
Li, H. (2022) · Communications of the ACM
Natural Language Processing TechniquesTopic Modeling
Cited by 45
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Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning
Izadyyazdanabadi, M., Belykh, E., Mooney, M. A., Eschbacher, J. M., Nakaji, P., Yang, Y., & Preul, M. C. (2018) · Frontiers in Oncology
AI in cancer detectionCell Image Analysis Techniques
Cited by 45
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On the completion time distribution for tasks that must restart from the beginning if a failure occurs
Sheahan, R., Lipsky, L., Fiorini, P. M., & Asmussen, S. (2006) · ACM SIGMETRICS Performance Evaluation Review
Distributed systems and fault toleranceReliability and Maintenance Optimization
Cited by 45
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LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Zhang, K., Li, B., Zhang, P., Pu, F., Cahyono, J. A., Hu, K., Liu, S., Zhang, Y., Yang, J., Li, C., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 45
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Self-organization of nodes in mobile ad hoc networks using evolutionary games and genetic algorithms
Kusyk, J., Sahin, C. S., Umit Uyar, M., Urrea, E., & Gundry, S. (2011) · Journal of Advanced Research
Mobile Ad Hoc NetworksEvolutionary Game Theory and Cooperation
Cited by 45
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The Singularity May Never Be Near
Walsh, T. (2017) · AI Magazine
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 45
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Why Language Models Hallucinate
Kalai, A. T., Nachum, O., Vempala, S. S., & Zhang, E. (2025) · arXiv
Topic ModelingExplainable Artificial Intelligence (XAI)
Cited by 45
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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liu, L., Ren, X., Shang, J., Gu, X., Peng, J., & Han, J. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Topic ModelingAdvanced Neural Network Applications
Cited by 45
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Exploring Vision-Language Models for Imbalanced Learning
Wang, Y., Yu, Z., Wang, J., Heng, Q., Chen, H., Ye, W., Xie, R., Xie, X., & Zhang, S. (2023) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 45
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Time-optimal quantum computation
Fowler, A. G. (2012) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 45
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Terrain Modelling from Feature Primitives
Génevaux, J., Galin, E., Peytavie, A., Guérin, E., Briquet, C., Grosbellet, F., & Benes, B. (2015) · Computer Graphics Forum
Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis
Cited by 45
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LogAssist: Assisting Log Analysis Through Log Summarization
Locke, S., Li, H., Chen, T.-H., Shang, W., & Liu, W. (2022) · IEEE Transactions on Software Engineering
Software System Performance and ReliabilitySoftware Engineering Research
Cited by 45
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Practical semantics for the Internet of Things: Physical states, device mashups, and open questions
Kovatsch, M., Hassan, Y. N., & Mayer, S. (2015) · 2015 5th International Conference on the Internet of Things (IOT)
Service-Oriented Architecture and Web ServicesSemantic Web and Ontologies
Cited by 45
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Beyond class-level privacy leakage: breaking record-level privacy in federated learning
Yuan, X., Ma, X., Zhang, L., Fang, Y., & Wu, D. (2022) · IEEE Internet of Things Journal
Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting
Cited by 45
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Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
Bohacek, M., & Farid, H. (2022) · Proceedings of the National Academy of Sciences
Digital Media Forensic DetectionBiometric Identification and Security
Cited by 45
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Deep neural networks-based vehicle detection in satellite images
Jiang, Q., Cao, L., Cheng, M., Wang, C., & Li, J. (2015) · 2015 International Symposium on Bioelectronics and Bioinformatics (ISBB)
Advanced Neural Network ApplicationsRemote-Sensing Image Classification
Cited by 45
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ScienceWorld: Is your Agent Smarter than a 5th Grader?
Wang, R., Jansen, P., Côté, M.-A., & Ammanabrolu, P. (2022) · arXiv
Multimodal Machine Learning ApplicationsScience Education and Pedagogy
Cited by 45
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Use of augmented reality in mental health-related conditions: A systematic review
Bakır, Ç. N., Abbas, S. O., Sever, E., Özcan Morey, A., Aslan Genç, H., & Mutluer, T. (2023) · DIGITAL HEALTH
Augmented Reality ApplicationsVirtual Reality Applications and Impacts
Cited by 45
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Handle with care: relational interpretation of algebraic effects and handlers
Biernacki, D., Piróg, M., Polesiuk, P., & Sieczkowski, F. (2018) · Proceedings of the ACM on Programming Languages
Logic, programming, and type systemsAdvanced Algebra and Logic
Cited by 45
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Modeling Feedback in Interaction With Conversational Agents—A Review
Axelsson, A., Buschmeier, H., & Skantze, G. (2022) · Frontiers in Computer Science
Speech and dialogue systemsSocial Robot Interaction and HRI
Cited by 45
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