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We propose a deep amortized clustering (DAC), a neural architecture which learns to cluster datasets efficiently using a few forward passes.
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, and Zsolt Kira · 1901
Earlier work this paper cites.
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Earlier work this paper cites.
Some methods for classification and analysis of multivariate observations
James MacQueen et al · 1967
Earlier work this paper cites.
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L. Hubert and P. Arabie · 1985
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Integrating constraints and metric learning in semi-supervised clustering
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Earlier work this paper cites.
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D. M. Blei and M. I. Jordan · 2006
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Amortized inference in probabilistic reasoning
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Earlier work this paper cites.
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Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv, and Zsolt Kira · 2017
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Discriminatively boosted image clustering with fully convolutional auto-encoders
F. Li, H. Qiao, B. Zhang, and X. Xi · 2017
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Masked autoregressive flow
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Attention is all you need
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Deep sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. Salakhutdinov, and A. Smola · 2017
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Conditional neural processes
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Invariant information clustering for unsupervised image classification and segmentation
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Meta-learning for semi-supervised few-shot classification
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Meta-learning with latent embedding optimization
A. A. Rusu, D. Rao, J. Sygnowski, O. Vinyals, R. Pascanu, S. Osindero, and R. Hadsell · 2018
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Set transformer: a framework for attention-based permutation-invariant neural networks
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A. Pakman, Y. Wang, C. Mitelut, J. Lee, and L. Paninski · 2019
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