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Active learning frameworks offer efficient data annotation without remarkable accuracy degradation.
Shannon, Claude E. ”A mathematical theory of communication.” The Bell system technical journal 27, no. 3 (1948): 379-423
1948
Earlier work this paper cites.
Freeman, Linton C., and Linton C. Freeman. Elementary applied statistics: for students in behavioral science. New York: Wiley, 1965
1965
Earlier work this paper cites.
Denker, John, Daniel Schwartz, Ben Wittner, Sara Solla, Richard Howard, Lawrence Jackel, and John Hopfield. ”Large automatic learning, rule extraction, and generalization.” Complex systems 1, no. 5 (1987): 877-922
1987
Earlier work this paper cites.
Cohn, David A., Zoubin Ghahramani, and Michael I. Jordan. Active Learning with Statistical Models. MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB, 1995
1995
Earlier work this paper cites.
Settles, B. (2009). Active learning literature survey. University of Wisconsin-Madison Department of Computer Sciences
2009
Earlier work this paper cites.
2011
Earlier work this paper cites.
2011
Earlier work this paper cites.
2012
Earlier work this paper cites.
Karpathy, Andrej, Armand Joulin, and Li F. Fei-Fei. ”Deep fragment embeddings for bidirectional image sentence mapping.” In Advances in neural information processing systems, pp. 1889-1897. 2014
2014
Earlier work this paper cites.
2015
Earlier work this paper cites.
Kandasamy, Kirthevasan, Jeff Schneider, and Barnabás Póczos. ”Bayesian active learning for posterior estimation.” In Proceedings of the 24th International Conference on Artificial Intelligence, pp. 3605-3611. 2015
2015
Earlier work this paper cites.
Ghahramani, Zoubin. ”Probabilistic machine learning and artificial intelligence.” Nature 521, no. 7553 (2015): 452-459
2015
Cited alongside, same era.
Gal, Yarin, and Zoubin Ghahramani. ”Dropout as a bayesian approximation: Insights and applications.” In Deep Learning Workshop, ICML, vol. 1, p. 2. 2015
2015
Cited alongside, same era.
Gal, Yarin, and Zoubin Ghahramani. ”Dropout as a bayesian approximation: Representing model uncertainty in deep learning.” In international conference on machine learning, pp. 1050-1059. 2016
2016
Cited alongside, same era.
Gal, Yarin. ”Uncertainty in deep learning.” University of Cambridge 1, no. 3 (2016): 4
2016
Cited alongside, same era.
2017
Matthias, Rottmann, Kahl Karsten, and Gottschalk Hanno. ”Deep bayesian active semi-supervised learning.” In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 158-164. IEEE, 2018
2018
Later among the works it cites.
2018
Later among the works it cites.
Taherkhani, Fariborz, Hadi Kazemi, and Nasser M. Nasrabadi. ”Matrix completion for graph-based deep semi-supervised learning.” In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 5058-5065. 2019
2019
Later among the works it cites.
Taherkhani, Fariborz, Hadi Kazemi, Ali Dabouei, Jeremy Dawson, and Nasser M. Nasrabadi. ”A weakly supervised fine label classifier enhanced by coarse supervision.” In Proceedings of the IEEE International Conference on Computer Vision, pp. 6459-6468. 2019
2019
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Cited alongside, same era.
2017
Cited alongside, same era.
Mohamadi, Salman, Hamidreza Amindavar, and SM Ali Tayaranian Hosseini. ”Arima-garch modeling for epileptic seizure prediction.” In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 994-998. IEEE, 2017
2017
Cited alongside, same era.
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. ”Imagenet classification with deep convolutional neural networks.” Communications of the ACM 60, no. 6 (2017): 84-90
2017
Cited alongside, same era.
Lewenberg, Yoad, Yoram Bachrach, Ulrich Paquet, and Jeffrey S. Rosenschein. ”Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem.” In AAAI, pp. 1396-1402. 2017
2017
Cited alongside, same era.
Taherkhani, Fariborz, Nasser M. Nasrabadi, and Jeremy Dawson. ”A deep face identification network enhanced by facial attributes prediction.” In Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp. 553-560. 2018
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
Pinsler, Robert, Jonathan Gordon, Eric Nalisnick, and José Miguel Hernández-Lobato. ”Bayesian batch active learning as sparse subset approximation.” In Advances in Neural Information Processing Systems, pp. 6359-6370. 2019
2019
Later among the works it cites.
Hajibabaee, Parisa, Farhad Pourkamali-Anaraki, and Mohammad Amin Hariri-Ardebili. ”Kernel matrix approximation on class-imbalanced data with an application to scientific simulation.” IEEE Access 9 (2021): 83579-83591
2021
Closest in time.
Hajibabaee, Parisa, Farhad Pourkamali-Anaraki, and Mohammad Amin Hariri-Ardebili. ”An empirical evaluation of the t-sne algorithm for data visualization in structural engineering.” In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1674-1680. IEEE, 2021
2021
Closest in time.