Check computer science papers: citations, claims and retractions

Voxel Transformer for 3D Object Detection

Mao, J., Xue, Y., Niu, M., Bai, H., Feng, J., Liang, X., Xu, H., & Xu, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 520

The Web as a Knowledge-Base for Answering Complex Questions

Talmor, A., & Berant, J. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 520

Disentangling Monocular 3D Object Detection

Simonelli, A., Bulo, S. R., Porzi, L., Lopez-Antequera, M., & Kontschieder, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 520

Transfer learning from speaker verification to multispeaker text-to-speech synthesis

Jia, Y., Zhang, Y., Weiss, R. J., Wang, Q., Shen, J., Ren, F., Chen, Z., Nguyen, P., Pang, R., Moreno, I. L., et al. (2018) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 519

Task Agnostic Meta-Learning for Few-Shot Learning

Jamal, M. A., & Qi, G.-J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 519

Quantum advantage in learning from experiments

Huang, H.-Y., Broughton, M., Cotler, J., Chen, S., Li, J., Mohseni, M., Neven, H., Babbush, R., Kueng, R., Preskill, J., et al. (2022) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 519

A framework for authorship identification of online messages: Writing‐style features and classification techniques

Zheng, R., Li, J., Chen, H., & Huang, Z. (2006) · Journal of the American Society for Information Science and Technology

Authorship Attribution and ProfilingUser Authentication and Security Systems

Cited by 519

Reachability and Distance Queries via 2-Hop Labels

Cohen, E., Halperin, E., Kaplan, H., & Zwick, U. (2003) · SIAM Journal on Computing

Complexity and Algorithms in GraphsGraph Theory and Algorithms

Cited by 518

Metrics for explainable AI: challenges and prospects

Hoffman, R. R., Mueller, S. T., Klein, G., & Litman, J. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 518

Quantum machine learning: a classical perspective

Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., & Wossnig, L. (2018) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 518

Direct manipulation vs. interface agents

Shneiderman, B., & Maes, P. (1997) · Interactions

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 518

Quantum Annealing of a Disordered Magnet

Brooke, J., Bitko, D., F., T., Rosenbaum, & Aeppli, G. (1999) · Science

Quantum Computing Algorithms and ArchitectureTheoretical and Computational Physics

Cited by 518

Multi-qubit entanglement and algorithms on a neutral-atom quantum computer

Graham, T. M., Song, Y., Scott, J., Poole, C., Phuttitarn, L., Jooya, K., Eichler, P., Jiang, X., Marra, A., Grinkemeyer, B., et al. (2022) · Nature

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 518

Federated learning for medical image analysis: A survey

Guan, H., Yap, P.-T., Bozoki, A., & Liu, M. (2024) · Pattern Recognition

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 518

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 518

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Sui, Y., Chuang, Y.-N., Wang, G., Zhang, J., Zhang, T., Yuan, J., Liu, H., Wen, A., Zhong, S., Zou, N., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 517

Realization of quantum error correction

Chiaverini, J., Leibfried, D., Schaetz, T., Barrett, M. D., Blakestad, R. B., Britton, J., Itano, W. M., Jost, J. D., Knill, E., Langer, C., et al. (2004) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 517

Learning Spatial Fusion for Single-Shot Object Detection

Liu, S., Huang, D., & Wang, Y. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 517

The Marabou Framework for Verification and Analysis of Deep Neural Networks

Katz, G., Huang, D. A., Ibeling, D., Julian, K., Lazarus, C., Lim, R., Shah, P., Thakoor, S., Wu, H., Zeljić, A., et al. (2019) · Lecture Notes in Computer Science

Formal Methods in VerificationSoftware Testing and Debugging Techniques

Cited by 517

Automated traffic classification and application identification using machine learning

Zander, S., Nguyen, T., & Armitage, G. (2005) · The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 517

NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images

Ancuti, C. O., Ancuti, C., & Timofte, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Image Enhancement TechniquesImage Processing Techniques and Applications

Cited by 517

Aligning AI With Shared Human Values

Hendrycks, D., Burns, C., Basart, S., Critch, A., Li, J., Song, D., & Steinhardt, J. (2020) · arXiv

Ethics and Social Impacts of AIPsychology of Moral and Emotional Judgment

Cited by 517

Recurrent Neural Network Grammars

Dyer, C., Kuncoro, A., Ballesteros, M., & Smith, N. A. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 517

A Very Brief Introduction to Machine Learning With Applications to Communication Systems

Simeone, O. (2018) · IEEE Transactions on Cognitive Communications and Networking

Software-Defined Networks and 5GMachine Learning and Algorithms

Cited by 516