Fetching the paper…
Reading the bibliography…
Active learning is able to reduce the amount of labelling effort by using a machine learning model to query the user for specific inputs.
A guide to NumPy , volume 1
Oliphant, T. E · 2006
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Krizhevsky, A., Hinton, G., et al · 2009
Earlier work this paper cites.
Accelerating very deep convolutional networks for classification and detection
Zhang, X., Zou, J., He, K., and Sun, J · 2009
Earlier work this paper cites.
Quality management on amazon mechanical turk
Ipeirotis, P. G., Provost, F., and Wang, J · 2010
Earlier work this paper cites.
Bayesian active learning for classification and preference learning
Houlsby, N., Huszár, F., Ghahramani, Z., and Lengyel, M · 2011
Earlier work this paper cites.
Quality control in crowdsourcing systems: Issues and directions
Allahbakhsh, M., Benatallah, B., Ignjatovic, A., Motahari-Nezhad, H. R., Bertino, E., and Dustdar, S · 2013
Earlier work this paper cites.
Weight uncertainty in neural networks
Blundell, C., Cornebise, J., Kavukcuoglu, K., and Wierstra, D · 2015
Earlier work this paper cites.
Deep kernel learning
Wilson, A. G., Hu, Z., Salakhutdinov, R., and Xing, E. P · 2015
Earlier work this paper cites.
Youtube-8m: A large-scale video classification benchmark
Abu-El-Haija, S., Kothari, N., Lee, J., Natsev, A. P., Toderici, G., Varadarajan, B., and Vijayanarasimhan, S · 2016
Cited alongside, same era.
Uncertainty in deep learning
Gal, Y · 2016
Cited alongside, same era.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Gal, Y. and Ghahramani, Z · 2016
Cited alongside, same era.
Learning from imbalanced data: open challenges and future directions
Krawczyk, B · 2016
Cited alongside, same era.
Deep bayesian active learning with image data
Gal, Y., Islam, R., and Ghahramani, Z · 2017
Cited alongside, same era.
What uncertainties do we need in bayesian deep learning for computer vision?
Kendall, A. and Gal, Y · 2017
Mio-tcd: A new benchmark dataset for vehicle classification and localization
Luo, Z., Branchaud-Charron, F., Lemaire, C., Konrad, J., Li, S., Mishra, A., Achkar, A., Eichel, J., and Jodoin, P.-M · 2018
Later among the works it cites.
Siddhant, A. and Lipton, Z. C · 2018
Later among the works it cites.
Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning, 2019
Kirsch, A., van Amersfoort, J., and Gal, Y · 2019
Later among the works it cites.
A simple baseline for bayesian uncertainty in deep learning
Maddox, W. J., Izmailov, P., Garipov, T., Vetrov, D. P., and Wilson, A. G · 2019
Later among the works it cites.
Evaluating merging strategies for sampling-based uncertainty techniques in object detection
Miller, D., Dayoub, F., Milford, M., and Sünderhauf, N · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., and Lerer, A · 2017
Cited alongside, same era.
Acts: An active learning method for time series classification
Peng, F., Luo, Q., and Ni, L. M · 2017
Cited alongside, same era.
The power of ensembles for active learning in image classification
Beluch, W. H., Genewein, T., Nürnberger, A., and Köhler, J. M · 2018
Cited alongside, same era.
Evaluating scalable uncertainty estimation methods for dnn-based molecular property prediction
Scalia, G., Grambow, C. A., Pernici, B., Li, Y.-P., and Green, W. H · 2019
Later among the works it cites.
Deeper connections between neural networks and gaussian processes speed-up active learning
Tsymbalov, E., Makarychev, S., Shapeev, A., and Panov, M · 2019
Later among the works it cites.
Bayesian deep learning and a probabilistic perspective of generalization
Wilson, A. G. and Izmailov, P · 2020
Closest in time.