Most cited computer science papers
- Verified
Next-Generation Topology of D-Wave Quantum Processors
Boothby, K., Bunyk, P., Raymond, J., & Roy, A. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques
Cited by 125
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Superadiabatic Controlled Evolutions and Universal Quantum Computation
Santos, A. C., & Sarandy, M. S. (2015) · Scientific Reports
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 125
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An Evaluation of the Human-Interpretability of Explanation
Lage, I., Chen, E., He, J., Narayanan, M., Kim, B., Gershman, S., & Doshi-Velez, F. (2019) · arXiv
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 125
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An Efficient Application Partitioning Algorithm in Mobile Environments
Wu, H., Knottenbelt, W. J., & Wolter, K. (2019) · IEEE Transactions on Parallel and Distributed Systems
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 125
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A systematic review on semantic interoperability in the IoE-enabled smart cities
Pliatsios, A., Kotis, K., & Goumopoulos, C. (2023) · Internet of Things
Semantic Web and OntologiesSmart Cities and Technologies
Cited by 125
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Topologically-constrained latent variable models
Urtasun, R., Fleet, D. J., Geiger, A., Popović, J., Darrell, T. J., & Lawrence, N. D. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08
Gaussian Processes and Bayesian InferenceHuman Motion and Animation
Cited by 125
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Barren plateaus preclude learning scramblers
Holmes, Z., Arrasmith, A., Yan, B., Coles, P. J., Albrecht, A., & Sornborger, A. T. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 125
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A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications
Suárez-Albela, M., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2017) · Sensors
IoT and Edge/Fog ComputingCryptographic Implementations and Security
Cited by 125
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Training the quantum approximate optimization algorithm without access to a quantum processing unit
Streif, M., & Leib, M. (2020) · Quantum Science and Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 125
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Navigating to objects in the real world
Gervet, T., Chintala, S., Batra, D., Malik, J., & Chaplot, D. S. (2023) · Science Robotics
Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization
Cited by 125
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Internet of Things Security, Device Authentication and Access Control: A Review
Ali, I., Sabir, S., & Ullah, Z. (2019) · arXiv
Advanced Authentication Protocols SecurityIoT and Edge/Fog Computing
Cited by 124
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Sustainable MLOps: Trends and Challenges
Tamburri, D. A. (2020) · 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 124
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Aperiodic Quantum Random Walks
Ribeiro, P., Milman, P., & Mosseri, R. (2004) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 124
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Line-of-sight communication on terrain models
De Floriani, L., Marzano, P., & Puppo, E. (1994) · International journal of geographical information systems
Computational Geometry and Mesh GenerationComplexity and Algorithms in Graphs
Cited by 124
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Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
Wang, L., Zhao, Y., Jinnai, Y., Tian, Y., & Fonseca, R. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsMachine Learning and Data Classification
Cited by 124
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Making Pre-trained Language Models Better Few-shot Learners
Gao, T., Fisch, A., & Chen, D. (2020) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 124
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An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective
Ouyang, F., Xu, W., & Cukurova, M. (2023) · International Journal of Computer-Supported Collaborative Learning
Online Learning and AnalyticsInnovative Teaching and Learning Methods
Cited by 124
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Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Liu, X., Gong, C., & Liu, Q. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks
Cited by 124
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Empirical data drift detection experiments on real-world medical imaging data
Kore, A., Abbasi Bavil, E., Subasri, V., Abdalla, M., Fine, B., Dolatabadi, E., & Abdalla, M. (2024) · Nature Communications
Data Stream Mining TechniquesArtificial Intelligence in Healthcare and Education
Cited by 124
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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Huang, P.-S., Zhang, H., Jiang, R., Stanforth, R., Welbl, J., Rae, J., Maini, V., Yogatama, D., & Kohli, P. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Sentiment Analysis and Opinion MiningEthics and Social Impacts of AI
Cited by 124
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Hallucinations in Large Multilingual Translation Models
Guerreiro, N. M., Alves, D., Waldendorf, J., Haddow, B., Birch, A., Colombo, P., & Martins, A. F. T. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 124
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API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Li, M., Zhao, Y., Yu, B., Song, F., Li, H., Yu, H., Li, Z., Huang, F., & Li, Y. (2023) · arXiv
Topic ModelingSpeech and dialogue systems
Cited by 124
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CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI
Choi, D., Hong, S., Park, J., Chung, J. J. Y., & Kim, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Digital Media and Visual ArtDesign Education and Practice
Cited by 124
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A multi-resolution ICP with heuristic closest point search for fast and robust 3D registration of range images
Jost, T., & Hugli, H. (2004) · Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings.
3D Shape Modeling and AnalysisAdvanced Image and Video Retrieval Techniques
Cited by 124
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