Most cited computer science papers
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Temporal Convolutional Networks for Action Segmentation and Detection
Lea, C., Flynn, M. D., Vidal, R., Reiter, A., & Hager, G. D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 2,238
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A Comprehensive Survey of Multiagent Reinforcement Learning
Busoniu, L., Babuska, R., & De Schutter, B. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation
Cited by 2,235
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Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Wang, S., Tuor, T., Salonidis, T., Leung, K. K., Makaya, C., He, T., & Chan, K. (2019) · IEEE Journal on Selected Areas in Communications
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 2,232
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Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP)
Blockchain Technology Applications and SecurityCryptography and Data Security
Cited by 2,227
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MMDetection: Open MMLab Detection Toolbox and Benchmark
Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., et al. (2019) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,227
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Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage
Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications
Cited by 2,227
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The theory of variational hybrid quantum-classical algorithms
McClean, J. R., Romero, J., Babbush, R., & Aspuru-Guzik, A. (2016) · New Journal of Physics
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 2,227
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Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
Chan, W., Jaitly, N., Le, Q., & Vinyals, O. (2016) · 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 2,226
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Wasserstein GAN
Arjovsky, M., Chintala, S., & Bottou, L. (2017) · arXiv
Generative Adversarial Networks and Image SynthesisStochastic Gradient Optimization Techniques
Cited by 2,225
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Shortcut learning in deep neural networks
Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020) · Nature Machine Intelligence
Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning
Cited by 2,224
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Quantum State Transfer and Entanglement Distribution among Distant Nodes in a Quantum Network
Cirac, J. I., Zoller, P., Kimble, H. J., & Mabuchi, H. (1997) · Physical Review Letters
Quantum Information and CryptographyQuantum optics and atomic interactions
Cited by 2,215
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Convolutional networks and applications in vision
LeCun, Y., Kavukcuoglu, K., & Farabet, C. (2010) · Proceedings of 2010 IEEE International Symposium on Circuits and Systems
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,213
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VoxCeleb: A Large-Scale Speaker Identification Dataset
Nagrani, A., Chung, J. S., & Zisserman, A. (2017) · Interspeech 2017
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 2,210
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A Database and Evaluation Methodology for Optical Flow
Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision
Advanced Vision and ImagingVideo Surveillance and Tracking Methods
Cited by 2,205
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Conceptualizing AI literacy: An exploratory review
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021) · Computers and Education: Artificial Intelligence
Digital literacy in educationArtificial Intelligence in Education
Cited by 2,205
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Globally and locally consistent image completion
Iizuka, S., Simo-Serra, E., & Ishikawa, H. (2017) · ACM Transactions on Graphics
Generative Adversarial Networks and Image Synthesis3D Shape Modeling and Analysis
Cited by 2,203
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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
the Precise4Q consortium, Amann, J., Blasimme, A., Vayena, E., Frey, D., & Madai, V. I. (2020) · BMC Medical Informatics and Decision Making
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 2,203
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A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks
Nunes, B. A. A., Mendonca, M., Nguyen, X.-N., Obraczka, K., & Turletti, T. (2014) · IEEE Communications Surveys & Tutorials
Software-Defined Networks and 5GAdvanced Optical Network Technologies
Cited by 2,203
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Unified Perceptual Parsing for Scene Understanding
Xiao, T., Liu, Y., Zhou, B., Jiang, Y., & Sun, J. (2018) · Lecture Notes in Computer Science
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,201
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S., O'Brien, J., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023) · Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
Artificial Intelligence in GamesMulti-Agent Systems and Negotiation
Cited by 2,187
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BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Courbariaux, M., Bengio, Y., & David, J.-P. (2015) · arXiv
Advanced Neural Network ApplicationsNeural Networks and Applications
Cited by 2,180
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A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
Albus, J. S. (1975) · Journal of Dynamic Systems, Measurement, and Control
Neural Networks and ApplicationsAdaptive Control of Nonlinear Systems
Cited by 2,177
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Measurement of qubits
James, D. F. V., Kwiat, P. G., Munro, W. J., & White, A. G. (2001) · Physical Review A
Quantum Information and CryptographyQuantum Mechanics and Applications
Cited by 2,176
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Ensemble Adversarial Training: Attacks and Defenses
Tramèr, F., Kurakin, A., Papernot, N., Goodfellow, I., Boneh, D., & McDaniel, P. (2017) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2,176
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