Check computer science papers: citations, claims and retractions

Subjective and Objective Quality Assessment of High Frame Rate Videos

Madhusudana, P. C., Yu, X., Birkbeck, N., Wang, Y., Adsumilli, B., & Bovik, A. C. (2020) · arXiv

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 69

Large linear classification when data cannot fit in memory

Yu, H.-F., Hsieh, C.-J., Chang, K.-W., & Lin, C.-J. (2012) · ACM Transactions on Knowledge Discovery from Data

Stochastic Gradient Optimization TechniquesText and Document Classification Technologies

Cited by 69

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI

Liao, Q. V., Zhang, Y., Luss, R., Doshi-Velez, F., & Dhurandhar, A. (2022) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 69

DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

Zafar, M. R., & Khan, N. M. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 69

Progressive Generation of Long Text with Pretrained Language Models

Tan, B., Yang, Z., Al-Shedivat, M., Xing, E., & Hu, Z. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 69

A Comparative Analysis of Early and Late Fusion for the Multimodal Two-Class Problem

Pereira, L. M., Salazar, A., & Vergara, L. (2023) · IEEE Access

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 69

SMSnet: Semantic motion segmentation using deep convolutional neural networks

Vertens, J., Valada, A., & Burgard, W. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 69

Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Chan, S. C. Y., Santoro, A., Lampinen, A. K., Wang, J. X., Singh, A., Richemond, P. H., McClelland, J., & Hill, F. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 69

Dissecting social engineering

Tetri, P., & Vuorinen, J. (2013) · Behaviour & Information Technology

Information and Cyber SecuritySpam and Phishing Detection

Cited by 69

The Vapnik–Chervonenkis dimension of graph and recursive neural networks

Scarselli, F., Tsoi, A. C., & Hagenbuchner, M. (2018) · Neural Networks

Neural Networks and ApplicationsAdvanced Graph Neural Networks

Cited by 69

Why doesn't it work?: voice-driven interfaces and young children's communication repair strategies

Cheng, Y., Yen, K., Chen, Y., Chen, S., & Hiniker, A. (2018) · Proceedings of the 17th ACM Conference on Interaction Design and Children

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 69

Measurement-based quantum computation with the toric code states

Bravyi, S., & Raussendorf, R. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 69

Interoperability Challenges in the Cybersecurity Information Sharing Ecosystem

Rantos, K., Spyros, A., Papanikolaou, A., Kritsas, A., Ilioudis, C., & Katos, V. (2020) · Computers

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 69

A Geometric Approach to Information-Theoretic Private Information Retrieval

Woodruff, D., & Yekhanin, S. (2005) · 20th Annual IEEE Conference on Computational Complexity (CCC'05)

Cryptography and Data SecurityCoding theory and cryptography

Cited by 69

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Chhikara, P., Khant, D., Aryan, S., Singh, T., & Yadav, D. (2025) · Frontiers in Artificial Intelligence and Applications

Speech and dialogue systemsTopic Modeling

Cited by 69

Learner and User Experience Research

Schmidt, M., Tawfik, A., Jahnke, I., & Earnshaw, Y. (2020)

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 69

Blockchained Post-Quantum Signatures

Chalkias, K., Brown, J., Hearn, M., Lillehagen, T., Nitto, I., & Schroeter, T. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 69

Large-Scale Differentially Private BERT

Anil, R., Ghazi, B., Gupta, V., Kumar, R., & Manurangsi, P. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 68

Ethical Reflections on Artificial Intelligence

Green, B. P. (2018) · Scientia et Fides

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 68

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation

Nie, F., Yao, J.-G., Wang, J., Pan, R., & Lin, C.-Y. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 68

A Survey on Temporal Knowledge Graph: Representation Learning and Applications

Cai, L., Mao, X., Zhou, Y., Long, Z., Wu, C., & Lan, M. (2024) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 68

DeepMind Lab

Beattie, C., Leibo, J. Z., Teplyashin, D., Ward, T., Wainwright, M., Küttler, H., Lefrancq, A., Green, S., Valdés, V., Sadik, A., et al. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 68

Federated Mimic Learning for Privacy Preserving Intrusion Detection

Al-Athba Al-Marri, N. A., Ciftler, B. S., & Abdallah, M. M. (2020) · 2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

Privacy-Preserving Technologies in DataNetwork Security and Intrusion Detection

Cited by 68

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

Gu, B., Dang, Z., Li, X., & Huang, H. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 68