Check computer science papers: citations, claims and retractions

An improved algorithm for computing logarithms overGF(p)and its cryptographic significance (Corresp.)

Pohlig, S., & Hellman, M. (1978) · IEEE Transactions on Information Theory

Cryptography and Residue ArithmeticCryptography and Data Security

Cited by 1,199

VisualBERT: A Simple and Performant Baseline for Vision and Language

Li, L. H., Yatskar, M., Yin, D., Hsieh, C.-J., & Chang, K.-W. (2019) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1,198

Real-Time Tracking via On-line Boosting

Grabner, H., Grabner, M., & Bischof, H. (2006) · Procedings of the British Machine Vision Conference 2006

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 1,198

Long Short-Term Memory-Networks for Machine Reading

Cheng, J., Dong, L., & Lapata, M. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,198

Exposing Deep Fakes Using Inconsistent Head Poses

Yang, X., Li, Y., & Lyu, S. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 1,196

A Two-Step Framework for Constructing Blind Image Quality Indices

Moorthy, A. K., & Bovik, A. C. (2010) · IEEE Signal Processing Letters

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 1,196

Learning a Unified Classifier Incrementally via Rebalancing

Hou, S., Pan, X., Loy, C. C., Wang, Z., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,195

Scaling personalized web search

Jeh, G., & Widom, J. (2003) · Proceedings of the twelfth international conference on World Wide Web - WWW '03

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 1,195

Digital technologies in the public-health response to COVID-19

Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., et al. (2020) · Nature Medicine

COVID-19 Digital Contact TracingData-Driven Disease Surveillance

Cited by 1,195

Action recognition with trajectory-pooled deep-convolutional descriptors

Wang, L., Qiao, Y., & Tang, X. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 1,194

Adversarial machine learning

Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011) · Proceedings of the 4th ACM workshop on Security and artificial intelligence

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 1,194

First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method

Battiti, R. (1992) · Neural Computation

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 1,193

The Complexity of Decentralized Control of Markov Decision Processes

Bernstein, D. S., Givan, R., Immerman, N., & Zilberstein, S. (2002) · Mathematics of Operations Research

Complexity and Algorithms in GraphsReinforcement Learning in Robotics

Cited by 1,192

A formal theory of inductive inference. Part I

Solomonoff, R. J. (1964) · Information and Control

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 1,192

CRYSTALS - Kyber: A CCA-Secure Module-Lattice-Based KEM

Bos, J., Ducas, L., Kiltz, E., Lepoint, T., Lyubashevsky, V., Schanck, J. M., Schwabe, P., Seiler, G., & Stehle, D. (2018) · 2018 IEEE European Symposium on Security and Privacy (EuroS&P)

Cryptography and Data SecurityQuantum Information and Cryptography

Cited by 1,192

StrongSORT: Make DeepSORT Great Again

Du, Y., Zhao, Z., Song, Y., Zhao, Y., Su, F., Gong, T., & Meng, H. (2023) · IEEE Transactions on Multimedia

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 1,191

Parameter-efficient fine-tuning of large-scale pre-trained language models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2023) · Nature Machine Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,191

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

Umuroglu, Y., Fraser, N. J., Gambardella, G., Blott, M., Leong, P., Jahre, M., & Vissers, K. (2017) · Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 1,189

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality

Dell’Acqua, F., McFowland, E., Mollick, E., Lifshitz, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2026) · Organization Science

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 1,189

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

Nesterov, Y. (2012) · SIAM Journal on Optimization

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 1,187

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sunderhauf, N., Reid, I., Gould, S., & van den Hengel, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 1,187

On Faithfulness and Factuality in Abstractive Summarization

Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 1,185

On Faithfulness and Factuality in Abstractive Summarization

Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 1,185

Quantum computing with realistically noisy devices

Knill, E. (2005) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,184