156 citations · 502 across the 18 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 13 cited
Deep Amortized Clustering
Juho Lee, Yoonho Lee, Yee Whye Teh
We propose a deep amortized clustering (DAC), a neural architecture which learns to cluster datasets efficiently using a few forward passes. DAC implicitly learns what makes a clus…
stat.ML2019★ 4 cited
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim, Yoonho Lee
Without relevant human priors, neural networks may learn uninterpretable features. We propose Dynamics of Attention for Focus Transition (DAFT) as a human prior for machine reasoni…
stat.ML2019
Discrete Infomax Codes for Supervised Representation Learning
Yoonho Lee, Wonjae Kim, Wonpyo Park +1
Learning compact discrete representations of data is a key task on its own or for facilitating subsequent processing of data. In this paper we present a model that produces Discret…