Check computer science papers: citations, claims and retractions

Matching the Blanks: Distributional Similarity for Relation Learning

Baldini Soares, L., FitzGerald, N., Ling, J., & Kwiatkowski, T. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 731

SNAS: Stochastic Neural Architecture Search

Xie, S., Zheng, H., Liu, C., & Lin, L. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 731

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers

Zhang, J., Liu, H., Yang, K., Hu, X., Liu, R., & Stiefelhagen, R. (2023) · IEEE Transactions on Intelligent Transportation Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 731

Mobile-Former: Bridging MobileNet and Transformer

Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 731

Optimum branchings

Edmonds, J. (1967) · Journal of Research of the National Bureau of Standards Section B Mathematics and Mathematical Physics

Complexity and Algorithms in GraphsGraph Theory and Algorithms

Cited by 731

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

Um, T. T., Pfister, F. M. J., Pichler, D., Endo, S., Lang, M., Hirche, S., Fietzek, U., & Kulić, D. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 729

SALICON: Saliency in Context

Jiang, M., Huang, S., Duan, J., & Zhao, Q. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Visual Attention and Saliency DetectionGaze Tracking and Assistive Technology

Cited by 729

Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis

Chen, R. J., Lu, M. Y., Wang, J., Williamson, D. F. K., Rodig, S. J., Lindeman, N. I., & Mahmood, F. (2022) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 729

Flow-Guided Feature Aggregation for Video Object Detection

Zhu, X., Wang, Y., Dai, J., Yuan, L., & Wei, Y. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 729

Measuring colorfulness in natural images

Hasler, D., & Suesstrunk, S. E. (2003) · SPIE Proceedings

Image and Video Quality AssessmentColor Science and Applications

Cited by 729

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

Datta, A., Sen, S., & Zick, Y. (2016) · 2016 IEEE Symposium on Security and Privacy (SP)

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

Cited by 728

Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources

Dolan, B., Quirk, C., & Brockett, C. (2004) · Proceedings of the 20th international conference on Computational Linguistics - COLING '04

Natural Language Processing TechniquesTopic Modeling

Cited by 728

Manipulating and Measuring Model Interpretability

Poursabzi-Sangdeh, F., Goldstein, D. G., Hofman, J. M., Wortman Vaughan, J. W., & Wallach, H. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 728

What Makes for Effective Detection Proposals?

Hosang, J., Benenson, R., Dollar, P., & Schiele, B. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 727

Small codes and large image databases for recognition

Torralba, A., Fergus, R., & Weiss, Y. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 727

Driving style recognition using a smartphone as a sensor platform

Johnson, D. A., & Trivedi, M. M. (2011) · 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Context-Aware Activity Recognition SystemsTraffic and Road Safety

Cited by 727

Lessons from the Netflix prize challenge

Bell, R. M., & Koren, Y. (2007) · ACM SIGKDD Explorations Newsletter

Recommender Systems and TechniquesOnline Learning and Analytics

Cited by 727

Time Series Data Augmentation for Deep Learning: A Survey

Wen, Q., Sun, L., Yang, F., Song, X., Gao, J., Wang, X., & Xu, H. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Time Series Analysis and ForecastingStock Market Forecasting Methods

Cited by 727

Extracting Training Data from Large Language Models

Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., Roberts, A., Brown, T., Song, D., Erlingsson, U., et al. (2020) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 727

Time Series Data Augmentation for Deep Learning: A Survey

Wen, Q., Sun, L., Yang, F., Song, X., Gao, J., Wang, X., & Xu, H. (2020) · arXiv

Time Series Analysis and ForecastingStock Market Forecasting Methods

Cited by 727

Training deep quantum neural networks

Beer, K., Bondarenko, D., Farrelly, T., Osborne, T. J., Salzmann, R., Scheiermann, D., & Wolf, R. (2020) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 726

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition

Hara, K., Kataoka, H., & Satoh, Y. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 726

A technique for software module specification with examples

Parnas, D. L. (1972) · Communications of the ACM

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 726

Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz

Romero, J., Babbush, R., McClean, J. R., Hempel, C., Love, P. J., & Aspuru-Guzik, A. (2019) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 726