📰 ACM Computing Surveys 2021 — papers

The works of ACM Computing Surveys published in 2021 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. A Survey on Bias and Fairness in Machine LearningNinareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena et al.5,442 citations · our summary
2. Deep Learning for Anomaly Detection ↗Guansong Pang, Chunhua Shen, Longbing Cao et al.2,799 citations
3. Knowledge GraphsAidan Hogan, Eva Blomqvist, Michael Cochez et al.1,904 citations · our summary
4. Deep Learning — based Text Classification ↗Shervin Minaee, Nal Kalchbrenner, Erik Cambria et al.1,538 citations
5. A Survey of Deep Active Learning ↗Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.1,124 citations
6. A Review on Outlier/Anomaly Detection in Time Series Data ↗Ane Blázquez-García, Ángel Conde, Usue Mori et al.1,085 citations
7. k-Nearest Neighbour Classifiers - A Tutorial ↗Pádraig Cunningham, Sarah Jane Delany942 citations
8. The Creation and Detection of Deepfakes ↗Yisroel Mirsky, Wenke Lee795 citations
9. A Survey on Blockchain Interoperability: Past, Present, and Future Trends ↗Rafael Belchior, André Vasconcelos, Sérgio Luís Proença Duarte Guerreiro et al.757 citations
10. Generative Adversarial Networks (GANs) ↗Divya Saxena, Jiannong Cao689 citations

All works of the year (221)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. A Survey on Bias and Fairness in Machine LearningNinareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena et al.5,442 citations · our summary
2. Deep Learning for Anomaly Detection ↗Guansong Pang, Chunhua Shen, Longbing Cao et al.2,799 citations
3. Knowledge GraphsAidan Hogan, Eva Blomqvist, Michael Cochez et al.1,904 citations · our summary
4. Deep Learning — based Text Classification ↗Shervin Minaee, Nal Kalchbrenner, Erik Cambria et al.1,538 citations
5. A Survey of Deep Active Learning ↗Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.1,124 citations
6. A Review on Outlier/Anomaly Detection in Time Series Data ↗Ane Blázquez-García, Ángel Conde, Usue Mori et al.1,085 citations
7. k-Nearest Neighbour Classifiers - A Tutorial ↗Pádraig Cunningham, Sarah Jane Delany942 citations
8. The Creation and Detection of Deepfakes ↗Yisroel Mirsky, Wenke Lee795 citations
9. A Survey on Blockchain Interoperability: Past, Present, and Future Trends ↗Rafael Belchior, André Vasconcelos, Sérgio Luís Proença Duarte Guerreiro et al.757 citations
10. Generative Adversarial Networks (GANs) ↗Divya Saxena, Jiannong Cao689 citations
11. A Comprehensive Survey of Privacy-preserving Federated Learning ↗Xuefei Yin, Yanming Zhu, Jiankun Hu631 citations
12. Reinforcement Learning in Healthcare: A Survey ↗Chao Yu, Jiming Liu, Shamim Nemati et al.628 citations
13. A Comprehensive Survey of Neural Architecture Search ↗Pengzhen Ren, Yun Xiao, Xiaojun Chang et al.590 citations
14. A Survey on Session-based Recommender Systems ↗Shoujin Wang, Longbing Cao, Yan Wang et al.570 citations
15. Principal Component Analysis ↗Felipe Lucas Gewers, Gustavo R. Ferreira, Henrique Ferraz de Arruda et al.508 citations
16. Deep Learning for Sensor-based Human Activity Recognition ↗Kaixuan Chen, Dalin Zhang, Lina Yao et al.491 citations
17. Hierarchical Reinforcement Learning ↗Shubham Pateria, Budhitama Subagdja, Ah‐Hwee Tan et al.461 citations
18. When Machine Learning Meets Privacy ↗Bo Liu, Ming Ding, Sina Shaham et al.450 citations
19. A Survey on Conversational Recommender Systems ↗Dietmar Jannach, Ahtsham Manzoor, Wanling Cai et al.430 citations
20. Machine Learning at the Network Edge: A Survey ↗M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou et al.402 citations
21. Evolutionary Large-Scale Multi-Objective Optimization: A Survey ↗Ye Tian, Langchun Si, Xingyi Zhang et al.401 citations
22. Deep Learning for Medical Anomaly Detection – A Survey ↗Tharindu Fernando, Harshala Gammulle, Simon Denman et al.399 citations
23. Generative Adversarial Networks ↗Zhipeng Cai, Zuobin Xiong, Honghui Xu et al.377 citations
24. A Survey on Generative Adversarial Networks: Variants, Applications, and Training ↗Abdul Jabbar, Xi Li, Bourahla Omar360 citations
25. A Survey on Automated Log Analysis for Reliability Engineering ↗Shilin He, Pinjia He, Zhuangbin Chen et al.329 citations

See all 221 papers in ACM Computing Surveys 2021 — papers →

📄 Works with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,396 citations
2. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧠Language models & pretraining (2)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🏢AmazonSeattle · United States1 work here🎓Harvard UniversityCambridge · United States1 work here🎓National University of SingaporeSingapore · Singapore1 work here🎓University of the Basque CountryLeioa · Spain1 work here🎓University of OregonEugene · United States1 work here🎓Carnegie Mellon UniversityPittsburgh · United States1 work here🎓University of PennsylvaniaPhiladelphia · United States1 work here

works and citations from OpenAlex and our library.

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