Most cited computer science papers
- Verified
BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ Creativity in Japanese
Osone, H., Lu, J.-L., & Ochiai, Y. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
Artificial Intelligence in GamesTopic Modeling
Cited by 74
- Verified
Improving CLIP Training with Language Rewrites
Fan, L., Krishnan, D., Isola, P., Katabi, D., & Tian, Y. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 74
- Verified
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Sun, J., Xu, C., Tang, L., Wang, S., Lin, C., Gong, Y., Ni, L. M., Shum, H.-Y., & Guo, J. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 74
- Verified
Efficient Privacy-Preserving Matrix Factorization for Recommendation via Fully Homomorphic Encryption
Kim, J., Koo, D., Kim, Y., Yoon, H., Shin, J., & Kim, S. (2018) · ACM Transactions on Privacy and Security
Cryptography and Data SecurityPrivacy-Preserving Technologies in Data
Cited by 74
- Verified
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka
Wang, G., Chen, L., Dikshit, A., Gustafson, J., Chen, B., Sax, M. J., Roesler, J., Blee-Goldman, S., Cadonna, B., Mehta, A., et al. (2021) · Proceedings of the 2021 International Conference on Management of Data
Advanced Database Systems and QueriesDistributed systems and fault tolerance
Cited by 74
- Verified
RUI: Recording user input from interfaces under Windows and Mac OS X
Kukreja, U., Stevenson, W. E., & Ritter, F. E. (2006) · Behavior Research Methods
Usability and User Interface DesignInteractive and Immersive Displays
Cited by 74
- Verified
Explaining machine learning reveals policy challenges
Coyle, D., & Weller, A. (2020) · Science
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 74
- Verified
Multiagent-Based Flexible Edge Computing Architecture for IoT
Suganuma, T., Oide, T., Kitagami, S., Sugawara, K., & Shiratori, N. (2018) · IEEE Network
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 73
- Verified
Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview
Camuffo, E., Mari, D., & Milani, S. (2022) · Sensors
3D Shape Modeling and AnalysisAdvanced Neural Network Applications
Cited by 73
- Verified
Ethics in cybersecurity research and practice
Macnish, K., & van der Ham, J. (2020) · Technology in Society
Ethics and Social Impacts of AIInformation and Cyber Security
Cited by 73
- Verified · note
Trust, regulation, and human-in-the-loop AI: within the European region
Middleton, S. E., Letouzé, E., Hossaini, A., & Chapman, A. (2022) · Communications of the ACM
Ethics and Social Impacts of AIHuman-Automation Interaction and Safety
Cited by 73
- Verified
Longitudinal Study of Child Face Recognition
Deb, D., Nain, N., & Jain, A. K. (2018) · 2018 International Conference on Biometrics (ICB)
Face recognition and analysisBiometric Identification and Security
Cited by 73
- Verified
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Liu, Y., Wen, R., He, X., Salem, A., Zhang, Z., Backes, M., De Cristofaro, E., Fritz, M., & Zhang, Y. (2021) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 73
- Verified
How does the offense-defense balance scale?
Garfinkel, B., & Dafoe, A. (2019) · Journal of Strategic Studies
Information and Cyber SecurityGame Theory and Applications
Cited by 73
- Verified
McEval: Massively Multilingual Code Evaluation
Chai, L., Liu, S., Yang, J., Yin, Y., Jin, K., Liu, J., Sun, T., Zhang, G., Ren, C., Guo, H., et al. (2024) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 73
- Verified
Causality and explanations in databases
Meliou, A., Roy, S., & Suciu, D. (2014) · Proceedings of the VLDB Endowment
Explainable Artificial Intelligence (XAI)Advanced Database Systems and Queries
Cited by 73
- Verified
A Multi-Domain Adaptive Graph Convolutional Network for EEG-based Emotion Recognition
Li, R., Wang, Y., & Lu, B.-L. (2021) · Proceedings of the 29th ACM International Conference on Multimedia
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 73
- Verified
Group emotion recognition with individual facial emotion CNNs and global image based CNNs
Tan, L., Zhang, K., Wang, K., Zeng, X., Peng, X., & Qiao, Y. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction
Emotion and Mood RecognitionFace recognition and analysis
Cited by 73
- Verified
Classification of human- and AI-generated texts: Investigating features for ChatGPT
Mindner, L., Schlippe, T., & Schaaff, K. (2023) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 73
- Verified
An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Chen, J., Chen, S., Luo, S., Wang, Q., Cao, B., & Li, X. (2020) · Digital Communications and Networks
IoT and Edge/Fog ComputingUAV Applications and Optimization
Cited by 73
- Verified
Neural Semantic Encoders
Munkhdalai, T., & Yu, H. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Topic ModelingNatural Language Processing Techniques
Cited by 73
- Verified
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Choi, M., Pei, J., Kumar, S., Shu, C., & Jurgens, D. (2023) · arXiv
Topic ModelingSentiment Analysis and Opinion Mining
Cited by 73
- Verified
Concrete resource analysis of the quantum linear-system algorithm used to compute the electromagnetic scattering cross section of a 2D target
Scherer, A., Valiron, B., Mau, S.-C., Alexander, S., van den Berg, E., & Chapuran, T. E. (2017) · Quantum Information Processing
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 73
- Verified
Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions
Chen, S., Yu, J., Chamouni, S., Wang, Y., & Li, Y. (2024) · BMC Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 73
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free