Check computer science papers: citations, claims and retractions

Few Sample Knowledge Distillation for Efficient Network Compression

Li, T., Li, J., Liu, Z., & Zhang, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 149

Generate Neural Template Explanations for Recommendation

Li, L., Zhang, Y., & Chen, L. (2020) · Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 149

Intrusion Detection Using Deep Belief Network and Probabilistic Neural Network

Zhao, G., Zhang, C., & Zheng, L. (2017) · 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 149

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data

Lee, C., Yang, T., Chen, Z., Su, Y., & Lyu, M. R. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 149

Immersive virtual reality attacks and the human joystick

Casey, P., Baggili, I., & Yarramreddy, A. (2021) · IEEE Transactions on Dependable and Secure Computing

Security and Verification in ComputingVirtual Reality Applications and Impacts

Cited by 149

Quantum Search Algorithms for Wireless Communications

Botsinis, P., Alanis, D., Babar, Z., Nguyen, H. V., Chandra, D., Ng, S. X., & Hanzo, L. (2019) · IEEE Communications Surveys & Tutorials

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 149

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A., & Fergus, R. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 149

Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection

Adler, A. I., & Painsky, A. (2022) · Entropy

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 149

Skeleton Image Representation for 3D Action Recognition Based on Tree Structure and Reference Joints

Caetano, C., Bremond, F., & Schwartz, W. R. (2019) · 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 149

Subgoal-labeled instructional material improves performance and transfer in learning to develop mobile applications

Margulieux, L. E., Guzdial, M., & Catrambone, R. (2012) · Proceedings of the ninth annual international conference on International computing education research

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 149

MotionGPT: Human Motion as a Foreign Language

Jiang, B., Chen, X., Liu, W., Yu, J., Yu, G., & Chen, T. (2023) · arXiv

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 149

Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm

Azad, U., Behera, B. K., Ahmed, E. A., Panigrahi, P. K., & Farouk, A. (2023) · IEEE Transactions on Intelligent Transportation Systems

Quantum Computing Algorithms and ArchitectureVehicle Routing Optimization Methods

Cited by 149

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Wang, J., Sahu, A. K., Yang, Z., Joshi, G., & Kar, S. (2019) · 2019 Sixth Indian Control Conference (ICC)

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 149

Improving Text Embeddings with Large Language Models

Wang, L., Yang, N., Huang, X., Yang, L., Majumder, R., & Wei, F. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 149

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 149

A Survey on the Memory Mechanism of Large Language Model based Agents

Zhang, Z., Bo, X., Ma, C., Li, R., Chen, X., Dai, Q., Zhu, J., Dong, Z., & Wen, J.-R. (2024) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 149

Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario

Strobel, V., Castelló Ferrer, E., & Dorigo, M. (2018) · International Joint Conference on Autonomous Agents and Multiagent Systems

Blockchain Technology Applications and SecurityModular Robots and Swarm Intelligence

Cited by 149

Fighting Deepfake by Exposing the Convolutional Traces on Images

Guarnera, L., Giudice, O., & Battiato, S. (2020) · IEEE Access

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 149

AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection

Schiff, D., Borenstein, J., Biddle, J., & Laas, K. (2021) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 149

Difficulties in Automatic Speech Recognition of Dysarthric Speakers and Implications for Speech-Based Applications Used by the Elderly: A Literature Review

Young, V., & Mihailidis, A. (2010) · Assistive Technology

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 149

“Shadowbanning is not a thing”: black box gaslighting and the power to independently know and credibly critique algorithms

Cotter, K. (2023) · Information, Communication & Society

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 149

Ethical machines: The human-centric use of artificial intelligence

Lepri, B., Oliver, N., & Pentland, A. (2021) · iScience

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 149

Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision

Miceli, M., Schuessler, M., & Yang, T. (2020) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 149

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

Miech, A., Alayrac, J.-B., Laptev, I., Sivic, J., & Zisserman, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 149