Karl Ridgeway

activity

20152023

most citedLearning Deep Disentangled Embeddings with the F-Statistic Loss

116 citations · 212 across the 9 of their papers we have counts for

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Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 1 cited

Open-Ended Content-Style Recombination Via Leakage Filtering

Karl Ridgeway, Michael C. Mozer

We consider visual domains in which a class label specifies the content of an image, and class-irrelevant properties that differentiate instances constitute the style. We present a…

cs.LG2018★ 48 cited

Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer

The focus in machine learning has branched beyond training classifiers on a single task to investigating how previously acquired knowledge in a source domain can be leveraged to fa…

cs.LG2018★ 116 cited

Learning Deep Disentangled Embeddings with the F-Statistic Loss

Karl Ridgeway, Michael C. Mozer

Deep-embedding methods aim to discover representations of a domain that make explicit the domain's class structure and thereby support few-shot learning. Disentangling methods aim…

Open-Ended Content-Style Recombination Via Leakage Filtering

Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning

Learning Deep Disentangled Embeddings with the F-Statistic Loss

Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning