Check computer science papers: citations, claims and retractions

Long short-term memory recurrent neural network architectures for large scale acoustic modeling

Sak, H., Senior, A., & Beaufays, F. (2014) · Interspeech 2014

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,973

A Survey of Monte Carlo Tree Search Methods

Browne, C. B., Powley, E., Whitehouse, D., Lucas, S. M., Cowling, P. I., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S., & Colton, S. (2012) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 2,970

BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation

Yu, C., Wang, J., Peng, C., Gao, C., Yu, G., & Sang, N. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,968

Convolutional Pose Machines

Wei, S.-E., Ramakrishna, V., Kanade, T., & Sheikh, Y. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,966

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2018) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

Deep Learning for Generic Object Detection: A Survey

Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,965

YOLOX: Exceeding YOLO Series in 2021

Ge, Z., Liu, S., Wang, F., Li, Z., & Sun, J. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,965

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Fredrikson, M., Jha, S., & Ristenpart, T. (2015) · Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 2,961

Purification of Noisy Entanglement and Faithful Teleportation via Noisy Channels

Bennett, C. H., Brassard, G., Popescu, S., Schumacher, B., Smolin, J. A., & Wootters, W. K. (1996) · Physical Review Letters

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 2,961

Machine learning and deep learning

Janiesch, C., Zschech, P., & Heinrich, K. (2021) · Electronic Markets

Artificial Intelligence ApplicationsNeural Networks and Applications

Cited by 2,959

Scope of validity of PSNR in image/video quality assessment

Huynh-Thu, Q., & Ghanbari, M. (2008) · Electronics Letters

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 2,959

Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature

Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010) · NeuroImage

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 2,956

Product Quantization for Nearest Neighbor Search

Jégou, H., Douze, M., & Schmid, C. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 2,956

Popular Ensemble Methods: An Empirical Study

Opitz, D., & Maclin, R. (1999) · Journal of Artificial Intelligence Research

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 2,953

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Ji, S., Pan, S., Cambria, E., Marttinen, P., & Yu, P. S. (2022) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Graph Neural NetworksTopic Modeling

Cited by 2,947

Deformable ConvNets V2: More Deformable, Better Results

Zhu, X., Hu, H., Lin, S., & Dai, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,943

The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

Hochreiter, S. (1998) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Neural Networks and ApplicationsHydrological Forecasting Using AI

Cited by 2,939

Fab: content-based, collaborative recommendation

Balabanović, M., & Shoham, Y. (1997) · Communications of the ACM

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 2,934

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

Coudray, N., Ocampo, P. S., Sakellaropoulos, T., Narula, N., Snuderl, M., Fenyö, D., Moreira, A. L., Razavian, N., & Tsirigos, A. (2018) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,930

Pruning Filters for Efficient ConvNets

Li, H., Kadav, A., Durdanovic, I., Samet, H., & Graf, H. P. (2016) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 2,928

How Iris Recognition Works

Daugman, J. (2004) · IEEE Transactions on Circuits and Systems for Video Technology

Biometric Identification and SecurityGait Recognition and Analysis

Cited by 2,927

Explainable AI: a review of machine learning interpretability methods

Linardatos, P., Papastefanopoulos, V., & Kotsiantis, S. (2020) · Entropy

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 2,922

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018) · IEEE Computational Intelligence Magazine

Topic ModelingNatural Language Processing Techniques

Cited by 2,921

Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

Bernardin, K., & Stiefelhagen, R. (2008) · EURASIP Journal on Image and Video Processing

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 2,918