Most cited computer science papers
- Verified
Voting for Voting in Online Point Cloud Object Detection
Zeng Wang, D., & Posner, I. (2015) · Robotics: Science and Systems XI
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 337
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Equity of Attention: Amortizing Individual Fairness in Rankings
Biega, A. J., Gummadi, K. P., & Weikum, G. (2018) · The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Ethics and Social Impacts of AIRecommender Systems and Techniques
Cited by 337
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A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 337
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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · arXiv
Ethics and Social Impacts of AINames, Identity, and Discrimination Research
Cited by 337
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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
De-Arteaga, M., Romanov, A., Wallach, H., Chayes, J., Borgs, C., Chouldechova, A., Geyik, S., Kenthapadi, K., & Kalai, A. T. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AINames, Identity, and Discrimination Research
Cited by 337
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Feature Learning for Activity Recognition in Ubiquitous Computing
Plötz, T., Hammerla, N., & Olivier, P. (2011) · Newcastle University
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 337
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Learning Robust Global Representations by Penalizing Local Predictive Power
Wang, H., Ge, S., Xing, E. P., & Lipton, Z. C. (2019) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 337
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Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering
Siriwardhana, S., Weerasekera, R., Wen, E., Kaluarachchi, T., Rana, R., & Nanayakkara, S. (2023) · Transactions of the Association for Computational Linguistics
Topic ModelingInformation Retrieval and Search Behavior
Cited by 337
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RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment
Soundararajan, R., & Bovik, A. C. (2012) · IEEE Transactions on Image Processing
Image and Video Quality AssessmentImage Retrieval and Classification Techniques
Cited by 337
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A morphological analysis of the design space of input devices
Card, S. K., Mackinlay, J. D., & Robertson, G. G. (1991) · ACM Transactions on Information Systems
Interactive and Immersive DisplaysUsability and User Interface Design
Cited by 337
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QAOA for Max-Cut requires hundreds of qubits for quantum speed-up
Guerreschi, G. G., & Matsuura, A. Y. (2019) · Scientific Reports
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 337
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Fractional Max-Pooling
Graham, B. (2014) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 337
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The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity
Howard, A., & Borenstein, J. (2018) · Science and Engineering Ethics
Ethics and Social Impacts of AIArtificial Intelligence in Law
Cited by 337
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Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning
Fujii, K., & Nakajima, K. (2017) · Physical Review Applied
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 337
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WhisperX: Time-Accurate Speech Transcription of Long-Form Audio
Bain, M., Huh, J., Han, T., & Zisserman, A. (2023) · INTERSPEECH 2023
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 337
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Privacy and Security in Internet of Things and Wearable Devices
Arias, O., Wurm, J., Hoang, K., & Jin, Y. (2015) · IEEE Transactions on Multi-Scale Computing Systems
IoT and Edge/Fog ComputingPrivacy, Security, and Data Protection
Cited by 337
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Topological estimation using witness complexes
Silva, V. D., & Carlsson, G. (2004) · The Eurographics Association
Topological and Geometric Data AnalysisHomotopy and Cohomology in Algebraic Topology
Cited by 337
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Generative Adversarial Networks in Time Series: A Systematic Literature Review
Brophy, E., Wang, Z., She, Q., & Ward, T. (2023) · ACM Computing Surveys
Generative Adversarial Networks and Image SynthesisTime Series Analysis and Forecasting
Cited by 337
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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Atakishiyev, S., Salameh, M., Yao, H., & Goebel, R. (2021) · arXiv
Explainable Artificial Intelligence (XAI)Autonomous Vehicle Technology and Safety
Cited by 336
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Metzer, G., Richardson, E., Patashnik, O., Giryes, R., & Cohen-Or, D. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis
Cited by 336
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Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns
Levi, G., & Hassner, T. (2015) · Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
Emotion and Mood RecognitionFace recognition and analysis
Cited by 336
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SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Zhang, W., Cun, X., Wang, X., Zhang, Y., Shen, X., Guo, Y., Shan, Y., & Wang, F. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Face recognition and analysisGenerative Adversarial Networks and Image Synthesis
Cited by 336
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Face Expression Recognition and Analysis: The State of the Art
Bettadapura, V. (2012) · arXiv
Emotion and Mood RecognitionFace recognition and analysis
Cited by 336
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Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition
Hardwicke, T. E., Mathur, M. B., MacDonald, K., Nilsonne, G., Banks, G. C., Kidwell, M. C., Hofelich Mohr, A., Clayton, E., Yoon, E. J., Henry Tessler, M., et al. (2018) · Royal Society Open Science
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 336
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