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02/27/2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding
A core challenge in the interpretation of deep neural networks is identi...
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05/27/2022
Spartan: Differentiable Sparsity via Regularized Transportation
We present Spartan, a method for training sparse neural network models w...
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02/17/2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Self-training is a standard approach to semi-supervised learning where t...
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01/25/2019
Equivariant Transformer Networks
How can prior knowledge on the transformation invariances of a domain be...
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03/06/2018
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries
Interactive analytics increasingly involves querying for quantiles over ...
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11/07/2017
Finding Heavily-Weighted Features in Data Streams
We introduce a new sub-linear space data structure---the Weight-Median S...
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06/25/2017
There and Back Again: A General Approach to Learning Sparse Models
We propose a simple and efficient approach to learning sparse models. Ou...
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02/28/2015