Check computer science papers: citations, claims and retractions

Efficient Classical Simulation of Slightly Entangled Quantum Computations

Vidal, G. (2003) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 2,368

Numerical Methods for Large Eigenvalue Problems: Revised Edition

Saad, Y. (2011) · Society for Industrial and Applied Mathematics eBooks

Matrix Theory and AlgorithmsSpectral Theory in Mathematical Physics

Cited by 2,364

Fog and IoT: An Overview of Research Opportunities

Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 2,362

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Nallapati, R., Zhou, B., dos Santos, C., Gulcehre, C., & Xiang, B. (2016) · Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning

Topic ModelingAdvanced Text Analysis Techniques

Cited by 2,361

Directed diffusion for wireless sensor networking

Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., & Silva, F. (2003) · IEEE/ACM Transactions on Networking

Energy Efficient Wireless Sensor NetworksSecurity in Wireless Sensor Networks

Cited by 2,359

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

Fei-Fei, L., Fergus, R., & Perona, P. (2007) · Computer Vision and Image Understanding

Domain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval Techniques

Cited by 2,359

Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later

Moler, C., & Van Loan, C. (2003) · SIAM Review

Matrix Theory and AlgorithmsNumerical Methods and Algorithms

Cited by 2,357

Privacy-preserving deep learning

Shokri, R., & Shmatikov, V. (2015) · Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 2,356

Within-subject template estimation for unbiased longitudinal image analysis

Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 2,356

Some Simple Economics of Open Source

Lerner, J., & Tirole, J. (2002) · The Journal of Industrial Economics

Open Source Software InnovationsDigital Platforms and Economics

Cited by 2,355

An Overview of Overfitting and its Solutions

Ying, X. (2019) · Journal of Physics: Conference Series

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 2,352

SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1994) · Series in Machine Perception and Artificial Intelligence

Handwritten Text Recognition TechniquesUser Authentication and Security Systems

Cited by 2,350

Deep reinforcement learning for autonomous driving: A survey

Kiran, B. R., Sobh, I., Talpaert, V., Mannion, P., Sallab, A. A. A., Yogamani, S., & Perez, P. (2022) · IEEE Transactions on Intelligent Transportation Systems

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 2,342

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Shi, S., Guo, C., Jiang, L., Wang, Z., Shi, J., Wang, X., & Li, H. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 2,341

Quantum annealing in the transverse Ising model

Kadowaki, T., & Nishimori, H. (1998) · Physical Review E

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2,339

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Ros, G., Sellart, L., Materzynska, J., Vazquez, D., & Lopez, A. M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,338

Searching for activation functions

Ramachandran, P., Zoph, B., & Le, Q. V. (2017) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 2,335

Towards Federated Learning at Scale: System Design

Bonawitz, K., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konečný, J., Mazzocchi, S., McMahan, H. B., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 2,334

“Cloze Procedure”: A New Tool for Measuring Readability

Taylor, W. L. (1953) · Journalism Quarterly

Text Readability and SimplificationReading and Literacy Development

Cited by 2,332

The use of MMR, diversity-based reranking for reordering documents and producing summaries

Carbonell, J., & Goldstein, J. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval

Information Retrieval and Search BehaviorAdvanced Text Analysis Techniques

Cited by 2,329

Barren plateaus in quantum neural network training landscapes

McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2018) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2,329

A behavior model for persuasive design

Fogg, B. (2009) · Proceedings of the 4th International Conference on Persuasive Technology

Innovative Human-Technology InteractionBehavioral Health and Interventions

Cited by 2,328

Adversarial machine learning at scale

Kurakin, A., Goodfellow, I., & Bengio, S. (2016) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2,325

The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

VanLEHN, K. (2011) · Educational Psychologist

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 2,323