Most cited computer science papers
- Verified
Learning a Rotation Invariant Detector with Rotatable Bounding Box
Liu, L., Pan, Z., & Lei, B. (2017) · arXiv
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 166
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RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification
Jung, J.-W., Heo, H.-S., Kim, J.-H., Shim, H.-J., & Yu, H.-J. (2019) · Interspeech 2019
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 166
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Noisy intermediate-scale quantum (NISQ) algorithms
Bharti, K., Cervera-Lierta, A., Kyaw, T. H., Haug, T., Alperin-Lea, S., Anand, A., Degroote, M., Heimonen, H., Kottmann, J. S., Menke, T., et al. (2021) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 166
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Multimodal learning with graphs
Ektefaie, Y., Dasoulas, G., Noori, A., Farhat, M., & Zitnik, M. (2023) · Nature Machine Intelligence
Advanced Graph Neural NetworksMultimodal Machine Learning Applications
Cited by 166
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Prepositional Phrase Attachment through a Backed-Off Model
Collins, M., & Brooks, J. (1995) · arXiv
Natural Language Processing TechniquesSpeech and dialogue systems
Cited by 166
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Bitwise Neural Networks
Kim, M., & Smaragdis, P. (2016) · arXiv
Advanced Neural Network ApplicationsNeural Networks and Applications
Cited by 166
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Pass-them-around: collaborative use of mobile phones for photo sharing
Lucero, A., Holopainen, J., & Jokela, T. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive and Immersive DisplaysInnovative Human-Technology Interaction
Cited by 166
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Self-Taught Evaluators
Wang, T., Kulikov, I., Golovneva, O., Yu, P., Yuan, W., Dwivedi-Yu, J., Pang, R. Y., Fazel-Zarandi, M., Weston, J., & Li, X. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 166
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Acquisition of chess knowledge in AlphaZero
McGrath, T., Kapishnikov, A., Tomašev, N., Pearce, A., Wattenberg, M., Hassabis, D., Kim, B., Paquet, U., & Kramnik, V. (2022) · Proceedings of the National Academy of Sciences
Artificial Intelligence in GamesArtificial Intelligence Applications
Cited by 166
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Intelligent tutoring systems for programming education: a systematic review
Crow, T., Luxton-Reilly, A., & Wuensche, B. (2018) · Proceedings of the 20th Australasian Computing Education Conference
Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning
Cited by 166
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EACMS: Emergency Access Control Management System for Personal Health Record Based on Blockchain
Rajput, A. R., Li, Q., Taleby Ahvanooey, M., & Masood, I. (2019) · IEEE Access
Blockchain Technology Applications and SecurityElectronic Health Records Systems
Cited by 166
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Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Jiang, J., Chen, J., Gu, T., Choo, K.-K. R., Liu, C., Yu, M., Huang, W., & Mohapatra, P. (2019) · MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)
Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks
Cited by 166
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Algorithmic Authority: The Case of Bitcoin
Lustig, C., & Nardi, B. (2015) · 2015 48th Hawaii International Conference on System Sciences
Ethics and Social Impacts of AIInformation Systems Theories and Implementation
Cited by 166
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QRTEngine: An easy solution for running online reaction time experiments using Qualtrics
Barnhoorn, J. S., Haasnoot, E., Bocanegra, B. R., & van Steenbergen, H. (2015) · Behavior Research Methods
Mobile Crowdsensing and CrowdsourcingNeural and Behavioral Psychology Studies
Cited by 166
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Variational quantum eigensolver with fewer qubits
Liu, J.-G., Zhang, Y.-H., Wan, Y., & Wang, L. (2019) · Physical Review Research
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 166
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Context awareness and adaptation in mobile learning
Wang, Y.-K. (2004) · The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings.
Mobile Learning in EducationIntelligent Tutoring Systems and Adaptive Learning
Cited by 166
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AI-assisted knowledge assessment techniques for adaptive learning environments
Minn, S. (2022) · Computers and Education: Artificial Intelligence
Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics
Cited by 166
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Natural Attack for Pre-trained Models of Code
Yang, Z., Shi, J., He, J., & Lo, D. (2022) · Proceedings of the 44th International Conference on Software Engineering
Adversarial Robustness in Machine LearningSoftware Engineering Research
Cited by 166
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Disparity-Based Multiscale Fusion Network for Transportation Detection
Chen, J., Wang, Q., Peng, W., Xu, H., Li, X., & Xu, W. (2022) · IEEE Transactions on Intelligent Transportation Systems
Advanced Neural Network ApplicationsAdvanced Vision and Imaging
Cited by 166
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Federated Learning for Industrial Internet of Things in Future Industries
Nguyen, D. C., Ding, M., Pathirana, P. N., Seneviratne, A., Li, J., Niyato, D., & Poor, H. V. (2021) · IEEE Wireless Communications
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 166
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WikiHow: A Large Scale Text Summarization Dataset
Koupaee, M., & Wang, W. Y. (2018) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 166
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Commonsense Knowledge Base Completion
Li, X., Taheri, A., Tu, L., & Gimpel, K. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingAdvanced Graph Neural Networks
Cited by 166
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Reasoning with Language Model is Planning with World Model
Hao, S., Gu, Y., Ma, H., Hong, J. J., Wang, Z., Wang, D. Z., & Hu, Z. (2023) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 166
- Verified · note
$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks
Wu, S., Li, G., Deng, L., Liu, L., Wu, D., Xie, Y., & Shi, L. (2019) · IEEE Transactions on Neural Networks and Learning Systems
Advanced Neural Network ApplicationsNeural Networks and Applications
Cited by 166
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