Most cited computer science papers
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Learning to Generate Reviews and Discovering Sentiment
Radford, A., Jozefowicz, R., & Sutskever, I. (2017) · arXiv
Sentiment Analysis and Opinion MiningTopic Modeling
Cited by 330
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First return, then explore
Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2021) · Nature
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 330
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MUREL: Multimodal Relational Reasoning for Visual Question Answering
Cadene, R., Ben-younes, H., Cord, M., & Thome, N. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 330
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REMODE: Probabilistic, monocular dense reconstruction in real time
Pizzoli, M., Forster, C., & Scaramuzza, D. (2014) · 2014 IEEE International Conference on Robotics and Automation (ICRA)
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 330
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CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Nijkamp, E., Pang, B., Hayashi, H., Tu, L., Wang, H., Zhou, Y., Savarese, S., & Xiong, C. (2022) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 330
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ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
Xue, L., Barua, A., Constant, N., Al-Rfou, R., Narang, S., Kale, M., Roberts, A., & Raffel, C. (2022) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 330
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TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
Cang, Z., & Wei, G.-W. (2017) · PLOS Computational Biology
Topological and Geometric Data AnalysisComputational Drug Discovery Methods
Cited by 330
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Deep neural networks for anatomical brain segmentation
de Brebisson, A., & Montana, G. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Medical Image Segmentation TechniquesBrain Tumor Detection and Classification
Cited by 330
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Explainable Artificial Intelligence in CyberSecurity: A Survey
Capuano, N., Fenza, G., Loia, V., & Stanzione, C. (2022) · IEEE Access
Explainable Artificial Intelligence (XAI)Network Security and Intrusion Detection
Cited by 330
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Howard, F. M., Dolezal, J., Kochanny, S., Schulte, J., Chen, H., Heij, L., Huo, D., Nanda, R., Olopade, O. I., Kather, J. N., et al. (2021) · Nature Communications
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 330
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Deriving Production Rules for Incremental View Maintenance
Ceri, S., & Widom, J. (1999) · Materialized Views
Advanced Database Systems and QueriesData Management and Algorithms
Cited by 330
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Re-Engineering Humanity
Frischmann, B., & Selinger, E. (2018) · Cambridge University Press eBooks
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 330
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Power to the People? Opportunities and Challenges for Participatory AI
Birhane, A., Isaac, W., Prabhakaran, V., Diaz, M., Elish, M. C., Gabriel, I., & Mohamed, S. (2022) · Equity and Access in Algorithms Mechanisms and Optimization
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 330
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Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Seichter, D., Kohler, M., Lewandowski, B., Wengefeld, T., & Gross, H.-M. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 330
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Large Language Models Are Human-Level Prompt Engineers
Zhou, Y., Muresanu, A. I., Han, Z., Paster, K., Pitis, S., Chan, H., & Ba, J. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 330
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Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence
Grassini, S. (2023) · Frontiers in Psychology
Ethics and Social Impacts of AIPsychometric Methodologies and Testing
Cited by 330
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A static analyzer for large safety-critical software
Blanchet, B., Cousot, P., Cousot, R., Feret, J., Mauborgne, L., Miné, A., Monniaux, D., & Rival, X. (2003) · Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Logic, programming, and type systemsFormal Methods in Verification
Cited by 330
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Self-Organizing Roles on Agile Software Development Teams
Hoda, R., Noble, J., & Marshall, S. (2013) · IEEE Transactions on Software Engineering
Software Engineering Techniques and PracticesTeam Dynamics and Performance
Cited by 330
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Searching for explanations: How the Internet inflates estimates of internal knowledge.
Fisher, M., Goddu, M. K., & Keil, F. C. (2015) · Journal of Experimental Psychology: General
Information Retrieval and Search BehaviorMemory Processes and Influences
Cited by 330
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Shaping program repair space with existing patches and similar code
Jiang, J., Xiong, Y., Zhang, H., Gao, Q., & Chen, X. (2018) · Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 329
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Classical simulation of noninteracting-fermion quantum circuits
Terhal, B. M., & DiVincenzo, D. P. (2002) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 329
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A Complexity-Invariant Distance Measure for Time Series
Batista, G. E. A. P. A., Wang, X., & Keogh, E. J. (2011) · Proceedings of the 2011 SIAM International Conference on Data Mining
Time Series Analysis and ForecastingData Mining Algorithms and Applications
Cited by 329
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MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation
Guan, H., Kozak, M., Robertson, E., Lee, Y., Yates, A. N., Delgado, A., Zhou, D., Kheyrkhah, T., Smith, J., & Fiscus, J. (2019) · 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 329
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Angular synchronization by eigenvectors and semidefinite programming
Singer, A. (2011) · Applied and Computational Harmonic Analysis
Sparse and Compressive Sensing TechniquesStatistical and numerical algorithms
Cited by 329
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