Check computer science papers: citations, claims and retractions

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI

Nauta, M., Trienes, J., Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J., van Keulen, M., & Seifert, C. (2023) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 590

Resource Scheduling in Edge Computing: A Survey

Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 588

Towards transparency by design for artificial intelligence

Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020) · Science and Engineering Ethics

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

Cited by 588

Distribution-Aware Coordinate Representation for Human Pose Estimation

Zhang, F., Zhu, X., Dai, H., Ye, M., & Zhu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 588

IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V. (2017) · IEEE Internet of Things Journal

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 588

What Makes Training Multi-modal Classification Networks Hard?

Wang, W., Tran, D., & Feiszli, M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 588

Photons Walking the Line: A Quantum Walk with Adjustable Coin Operations

Schreiber, A., Cassemiro, K. N., Potoček, V., Gábris, A., Mosley, P. J., Andersson, E., Jex, I., & Silberhorn, C. (2010) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 588

From HMM's to segment models: a unified view of stochastic modeling for speech recognition

Ostendorf, M., Digalakis, V. V., & Kimball, O. A. (1996) · IEEE Transactions on Speech and Audio Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 587

Masked Feature Prediction for Self-Supervised Visual Pre-Training

Wei, C., Fan, H., Xie, S., Wu, C.-Y., Yuille, A., & Feichtenhofer, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 587

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

Reisizadeh, A., Mokhtari, A., Hassani, H., Jadbabaie, A., & Pedarsani, R. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 587

SummEval: Re-evaluating Summarization Evaluation

Fabbri, A. R., Kryściński, W., McCann, B., Xiong, C., Socher, R., & Radev, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 587

Visual Translation Embedding Network for Visual Relation Detection

Zhang, H., Kyaw, Z., Chang, S.-F., & Chua, T.-S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 586

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Babu, A., Wang, C., Tjandra, A., Lakhotia, K., Xu, Q., Goyal, N., Singh, K., von Platen, P., Saraf, Y., Pino, J., et al. (2022) · Interspeech 2022

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 586

Whole Test Suite Generation

Fraser, G., & Arcuri, A. (2013) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 586

Sparse Communication for Distributed Gradient Descent

Aji, A. F., & Heafield, K. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Stochastic Gradient Optimization TechniquesAdvanced Neural Network Applications

Cited by 585

A Syntactic Neural Model for General-Purpose Code Generation

Yin, P., & Neubig, G. (2017) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 585

End-to-End Learning of Action Detection from Frame Glimpses in Videos

Yeung, S., Russakovsky, O., Mori, G., & Fei-Fei, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 585

Traffic classification on the fly

Bernaille, L., Teixeira, R., Akodkenou, I., Soule, A., & Salamatian, K. (2006) · ACM SIGCOMM Computer Communication Review

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 585

A blockchain future for internet of things security: a position paper

Banerjee, M., Lee, J., & Choo, K.-K. R. (2018) · Digital Communications and Networks

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 585

First Order Motion Model for Image Animation

Siarohin, A., Lathuilière, S., Tulyakov, S., Ricci, E., & Sebe, N. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Vision and Imaging

Cited by 585

The Bravyi-Kitaev transformation for quantum computation of electronic structure

Seeley, J. T., Richard, M. J., & Love, P. J. (2012) · The Journal of Chemical Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 585

Blockchains everywhere - a use-case of blockchains in the pharma supply-chain

Bocek, T., Rodrigues, B. B., Strasser, T., & Stiller, B. (2017) · 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 585

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Salimans, T., Karpathy, A., Chen, X., & Kingma, D. P. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 584

Unsupervised Machine Translation Using Monolingual Corpora Only

Lample, G., Conneau, A., Denoyer, L., & Ranzato, M. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 584