Check computer science papers: citations, claims and retractions

Toward measuring visualization insight

North, C. (2006) · IEEE Computer Graphics and Applications

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 456

Dynamic DETR: End-to-End Object Detection with Dynamic Attention

Dai, X., Chen, Y., Yang, J., Zhang, P., Yuan, L., & Zhang, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 456

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y., & Ballas, N. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 456

High-threshold and low-overhead fault-tolerant quantum memory

Bravyi, S., Cross, A. W., Gambetta, J. M., Maslov, D., Rall, P., & Yoder, T. J. (2024) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 456

Universal Computation by Multiparticle Quantum Walk

Childs, A. M., Gosset, D., & Webb, Z. (2013) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 456

Local Differential Privacy-Based Federated Learning for Internet of Things

Zhao, Y., Zhao, J., Yang, M., Wang, T., Wang, N., Lyu, L., Niyato, D., & Lam, K.-Y. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 456

ChatGPT is bullshit

Hicks, M. T., Humphries, J., & Slater, J. (2024) · Ethics and Information Technology

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 456

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Bayoudh, K., Knani, R., Hamdaoui, F., & Mtibaa, A. (2022) · The Visual Computer

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 456

Benchmarking Large Language Models in Retrieval-Augmented Generation

Chen, J., Lin, H., Han, X., & Sun, L. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 455

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Müller, J., Penna, J., & Rombach, R. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 455

Automatic rigging and animation of 3D characters

Baran, I., & Popović, J. (2007) · ACM Transactions on Graphics

Human Motion and Animation3D Shape Modeling and Analysis

Cited by 455

A survey of video datasets for human action and activity recognition

Chaquet, J. M., Carmona, E. J., & Fernández-Caballero, A. (2013) · Computer Vision and Image Understanding

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 455

Robots should be slaves

Bryson, J. J. (2010) · Natural Language Processing

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 455

When Machine Learning Meets Privacy: A Survey and Outlook

Liu, B., Ding, M., Shaham, S., Rahayu, W., Farokhi, F., & Lin, Z. (2022) · ACM Computing Surveys

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 455

Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review

Ramanujam, E., Perumal, T., & Padmavathi, S. (2021) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 455

Using mobile phones for vocabulary activities: Examining the effect of platform

Stockwell, G. (2010) · Language Learning & Technology

Mobile Learning in EducationSecond Language Acquisition and Learning

Cited by 455

Methodologies for Cross-Domain Data Fusion: An Overview

Zheng, Y. (2015) · IEEE Transactions on Big Data

Data Quality and ManagementDomain Adaptation and Few-Shot Learning

Cited by 454

Benchmarking Large Language Models in Retrieval-Augmented Generation

Chen, J., Lin, H., Han, X., & Sun, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 454

Object Detection Networks on Convolutional Feature Maps

Ren, S., He, K., Girshick, R., Zhang, X., & Sun, J. (2015) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 454

Eye movement assessment of selective attentional capture by emotional pictures.

Nummenmaa, L., Hyönä, J., & Calvo, M. G. (2006) · Emotion

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 454

Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them

Gonen, H., & Goldberg, Y. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Ethics and Social Impacts of AIGender Studies in Language

Cited by 454

LogBERT: Log Anomaly Detection via BERT

Guo, H., Yuan, S., & Wu, X. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 454

Restoring an Image Taken through a Window Covered with Dirt or Rain

Eigen, D., Krishnan, D., & Fergus, R. (2013) · 2013 IEEE International Conference on Computer Vision

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 454

Object Detection Networks on Convolutional Feature Maps

Ren, S., He, K., Girshick, R., Zhang, X., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 454