Check computer science papers: citations, claims and retractions

What is the State of Neural Network Pruning?

Blalock, D., Ortiz, J. J. G., Frankle, J., & Guttag, J. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 560

Learning to Deblur

Schuler, C. J., Hirsch, M., Harmeling, S., & Schölkopf, B. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image Processing TechniquesImage Processing Techniques and Applications

Cited by 560

Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view

Loyola-Gonzalez, O. (2019) · IEEE Access

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 559

Incremental Learning of Object Detectors without Catastrophic Forgetting

Shmelkov, K., Schmid, C., & Alahari, K. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 559

Advanced Normalization Tools: V1.0

Avants, B., Tustison, N. J., & Song, G. (2009) · The Insight Journal

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 559

Randomized algorithms for the low-rank approximation of matrices

Liberty, E., Woolfe, F., Martinsson, P.-G., Rokhlin, V., & Tygert, M. (2007) · Proceedings of the National Academy of Sciences

Matrix Theory and AlgorithmsSparse and Compressive Sensing Techniques

Cited by 559

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

Poggio, T., Mhaskar, H., Rosasco, L., Miranda, B., & Liao, Q. (2017) · International Journal of Automation and Computing

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 559

Holographic embeddings of knowledge graphs

Nickel, M., Rosasco, L., & Poggio, T. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 559

Quantum autoencoders for efficient compression of quantum data

Romero, J., Olson, J. P., & Aspuru-Guzik, A. (2017) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 559

LLM Evaluators Recognize and Favor Their Own Generations

Panickssery, A., Bowman, S. R., & Feng, S. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 559

Using cognitive psychology to understand GPT-3

Binz, M., & Schulz, E. (2023) · Proceedings of the National Academy of Sciences

Topic ModelingPsychiatry, Mental Health, Neuroscience

Cited by 559

Procedural content generation for games: A survey

Hendrikx, M., Meijer, S., Van Der Velden, J., & Iosup, A. (2013) · ACM Transactions on Multimedia Computing, Communications, and Applications

Artificial Intelligence in GamesComputer Graphics and Visualization Techniques

Cited by 558

Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

Taylor, C. F., Field, D., Sansone, S.-A., Aerts, J., Apweiler, R., Ashburner, M., Ball, C. A., Binz, P.-A., Bogue, M., Booth, T., et al. (2008) · Nature Biotechnology

Research Data Management PracticesScientific Computing and Data Management

Cited by 558

Dream to Control: Learning Behaviors by Latent Imagination

Hafner, D., Lillicrap, T., Ba, J., & Norouzi, M. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 558

Implementation of a quantum search algorithm on a quantum computer

Jones, J. A., Mosca, M., & Hansen, R. H. (1998) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 558

Arabic Natural Language Processing: Challenges and Solutions

Farghaly, A., & Shaalan, K. (2009) · ACM Transactions on Asian Language Information Processing

Natural Language Processing TechniquesLanguage, Linguistics, Cultural Analysis

Cited by 557

Variational ansatz-based quantum simulation of imaginary time evolution

McArdle, S., Jones, T., Endo, S., Li, Y., Benjamin, S. C., & Yuan, X. (2019) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 557

DRAM errors in the wild: a large-scale field study

Schroeder, B., Pinheiro, E., & Weber, W.-D. (2009) · Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems

Parallel Computing and Optimization TechniquesDistributed systems and fault tolerance

Cited by 557

Lite-HRNet: A Lightweight High-Resolution Network

Yu, C., Xiao, B., Gao, C., Yuan, L., Zhang, L., Sang, N., & Wang, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 557

Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

Zheng, Y., Zhang, Y., Qian, K., Zhang, G., Liu, Y., Wu, C., & Yang, Z. (2019) · Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 557

Learning to recognize objects in egocentric activities

Fathi, A., Ren, X., & Rehg, J. M. (2011) · CVPR 2011

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 557

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Manakul, P., Liusie, A., & Gales, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMisinformation and Its Impacts

Cited by 557

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Besta, M., Blach, N., Kubicek, A., Gerstenberger, R., Podstawski, M., Gianinazzi, L., Gajda, J., Lehmann, T., Niewiadomski, H., Nyczyk, P., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 556

Recommender systems and their ethical challenges

Milano, S., Taddeo, M., & Floridi, L. (2020) · AI & SOCIETY

Ethics and Social Impacts of AIRecommender Systems and Techniques

Cited by 556