Check computer science papers: citations, claims and retractions

Unsupervised Learning by Predicting Noise

Bojanowski, P., & Joulin, A. (2017) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 228

Incorporating BERT into Neural Machine Translation

Zhu, J., Xia, Y., Wu, L., He, D., Qin, T., Zhou, W., Li, H., & Liu, T.-Y. (2020) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 228

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

Weinreb, C., Pearl, J. E., Lin, S., Osman, M. A. M., Zhang, L., Annapragada, S., Conlin, E., Hoffmann, R., Makowska, S., Gillis, W. F., et al. (2024) · Nature Methods

Human Pose and Action RecognitionNeurobiology and Insect Physiology Research

Cited by 228

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent

Chen, Y., Su, L., & Xu, J. (2018) · Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 228

BertGCN: Transductive Text Classification by Combining GNN and BERT

Lin, Y., Meng, Y., Sun, X., Han, Q., Kuang, K., Li, J., & Wu, F. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Advanced Graph Neural NetworksTopic Modeling

Cited by 228

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

Fang, H.-S., Sun, J., Wang, R., Gou, M., Li, Y.-L., & Lu, C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 228

CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network

Peng, Y., Qi, J., Huang, X., & Yuan, Y. (2018) · IEEE Transactions on Multimedia

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 228

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani, Y., & Collier, R. (2021) · Sensors

IoT and Edge/Fog ComputingSmart Agriculture and AI

Cited by 228

CVD2014—A Database for Evaluating No-Reference Video Quality Assessment Algorithms

Nuutinen, M., Virtanen, T., Vaahteranoksa, M., Vuori, T., Oittinen, P., & Hakkinen, J. (2016) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 227

Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine

Naudet, F., Sakarovitch, C., Janiaud, P., Cristea, I., Fanelli, D., Moher, D., & Ioannidis, J. P. A. (2018) · BMJ

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 227

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Bannur, S., Hyland, S., Liu, Q., Pérez-García, F., Ilse, M., Castro, D. C., Boecking, B., Sharma, H., Bouzid, K., Thieme, A., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 227

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

Wallace, E., Wang, Y., Li, S., Singh, S., & Gardner, M. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 227

Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions

Floridi, L. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 227

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Wang, H., Wu, Z., Liu, Z., Cai, H., Zhu, L., Gan, C., & Han, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Advanced Neural Network ApplicationsTopic Modeling

Cited by 227

Explainability of deep vision-based autonomous driving systems: Review and challenges

Zablocki, É., Ben-Younes, H., Pérez, P., & Cord, M. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Autonomous Vehicle Technology and Safety

Cited by 227

WRPN: Wide Reduced-Precision Networks

Mishra, A., Nurvitadhi, E., Cook, J. J., & Marr, D. (2017) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 227

Bigrams of Syntactic Labels for Authorship Discrimination of Short Texts

Hirst, G., & Feiguina, O. (2007) · Literary and Linguistic Computing

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 227

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Zhao, Y., Gu, A., Varma, R., Luo, L., Huang, C.-C., Xu, M., Wright, L., Shojanazeri, H., Ott, M., Shleifer, S., et al. (2023) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 227

Portable preimpact fall detector with inertial sensors

Wu, G., & Xue, S. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 227

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Schick, T., Udupa, S., & Schütze, H. (2021) · Transactions of the Association for Computational Linguistics

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 227

Swarm learning for decentralized artificial intelligence in cancer histopathology

Saldanha, O. L., Quirke, P., West, N. P., James, J. A., Loughrey, M. B., Grabsch, H. I., Salto-Tellez, M., Alwers, E., Cifci, D., Ghaffari Laleh, N., et al. (2022) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 227

State-of-the-Art and Research Opportunities for Next-Generation Consumer Electronics

Wu, C. K., Cheng, C.-T., Uwate, Y., Chen, G., Mumtaz, S., & Tsang, K. F. (2023) · IEEE Transactions on Consumer Electronics

IoT and Edge/Fog ComputingIoT-based Smart Home Systems

Cited by 227

Platforms, People, and Perception: Using Affordances to Understand Self-Presentation on Social Media

DeVito, M. A., Birnholtz, J., & Hancock, J. T. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Innovative Human-Technology InteractionImpact of Technology on Adolescents

Cited by 227

A field study of exploratory learning strategies

Rieman, J. (1996) · ACM Transactions on Computer-Human Interaction

Usability and User Interface DesignInnovative Education and Learning Practices

Cited by 227