Check computer science papers: citations, claims and retractions

Decision-based adversarial attacks: Reliable attacks against black-box machine learning models

Brendel, W., Rauber, J., & Bethge, M. (2017) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 1,018

A Low Power, Fully Event-Based Gesture Recognition System

Amir, A., Taba, B., Berg, D., Melano, T., McKinstry, J., Di Nolfo, C., Nayak, T., Andreopoulos, A., Garreau, G., Mendoza, M., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Hand Gesture Recognition SystemsAdvanced Memory and Neural Computing

Cited by 1,017

Multiple Object Tracking Using K-Shortest Paths Optimization

Berclaz, J., Fleuret, F., Turetken, E., & Fua, P. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor Networks

Cited by 1,015

One-Class Collaborative Filtering

Pan, R., Zhou, Y., Cao, B., Liu, N. N., Lukose, R., Scholz, M., & Yang, Q. (2008) · 2008 Eighth IEEE International Conference on Data Mining

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 1,015

Data-Efficient Image Recognition with Contrastive Predictive Coding

Hénaff, O. J., Srinivas, A., De Fauw, J., Razavi, A., Doersch, C., Eslami, S. M. A., & Oord, A. V. D. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,014

A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form

O’Brien, H. L., Cairns, P., & Hall, M. (2018) · International Journal of Human-Computer Studies

Innovative Human-Technology InteractionFlow Experience in Various Fields

Cited by 1,014

A Connection Between Score Matching and Denoising Autoencoders

Vincent, P. (2011) · Neural Computation

Neural Networks and ApplicationsTopic Modeling

Cited by 1,011

Algorithms as culture: Some tactics for the ethnography of algorithmic systems

Seaver, N. (2017) · Big Data & Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 1,010

Finding Deceptive Opinion Spam by Any Stretch of the Imagination

Ott, M., Choi, Y., Cardie, C., & Hancock, J. T. (2011) · arXiv

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 1,008

Using dynamic programming for solving variational problems in vision

Amini, A. A., Weymouth, T. E., & Jain, R. C. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesAdvanced Vision and Imaging

Cited by 1,008

A Survey on the Explainability of Supervised Machine Learning

Burkart, N., & Huber, M. F. (2021) · Journal of Artificial Intelligence Research

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,008

Understanding Data Augmentation for Classification: When to Warp?

Wong, S. C., Gatt, A., Stamatescu, V., & McDonnell, M. D. (2016) · 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 1,007

Contextmapping: experiences from practice

Visser, F. S., Stappers, P. J., van der Lugt, R., & Sanders, E. B.-N. (2005) · CoDesign

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 1,007

A review of smart homes—Present state and future challenges

Chan, M., Estève, D., Escriba, C., & Campo, E. (2008) · Computer Methods and Programs in Biomedicine

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 1,007

Unsupervised Learning of Visual Representations Using Videos

Wang, X., & Gupta, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

BLEURT: Learning Robust Metrics for Text Generation

Sellam, T., Das, D., & Parikh, A. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,005

Theano: new features and speed improvements

Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I., Bergeron, A., Bouchard, N., Warde-Farley, D., & Bengio, Y. (2012) · arXiv

Parallel Computing and Optimization TechniquesNeural Networks and Applications

Cited by 1,005

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

Chen, Y., Qin, X., Wang, J., Yu, C., & Gao, W. (2020) · IEEE Intelligent Systems

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 1,005

BLEURT: Learning Robust Metrics for Text Generation

Sellam, T., Das, D., & Parikh, A. P. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,005

Evolving virtual creatures

Sims, K. (1994) · Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94

Evolutionary Algorithms and ApplicationsModular Robots and Swarm Intelligence

Cited by 1,005

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Fedus, W., Zoph, B., & Shazeer, N. (2021) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 1,005

“Waveglow: a flow-based generative network for speech synthesis,”

Prenger, R., Valle, R., & Catanzaro, B. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,004