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10/12/2021
Dynamic Inference with Neural Interpreters
Modern neural network architectures can leverage large amounts of data t...
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10/14/2020
Function Contrastive Learning of Transferable Representations
Few-shot-learning seeks to find models that are capable of fast-adaptati...
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07/13/2020
S2RMs: Spatially Structured Recurrent Modules
Capturing the structure of a data-generating process by means of appropr...
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06/07/2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Learning meaningful and compact representations with structurally disent...
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06/07/2019
Disentangled State Space Representations
Sequential data often originates from diverse domains across which stati...
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05/14/2019
Kernel Mean Matching for Content Addressability of GANs
We propose a novel procedure which adds "content-addressability" to any ...
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07/31/2018
