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05/04/2021
Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
Numerous methods have been proposed to transform color and grayscale ima...
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06/11/2019
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference
In this work, we propose to quantize all parts of standard classificatio...
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12/06/2018
Neural Image Decompression: Learning to Render Better Image Previews
A rapidly increasing portion of Internet traffic is dominated by request...
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09/24/2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference
For successful deployment of deep neural networks on highly--resource-co...
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09/07/2018
Representing Images in 200 Bytes: Compression via Triangulation
A rapidly increasing portion of internet traffic is dominated by request...
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01/16/2018
Empirical Explorations in Training Networks with Discrete Activations
We present extensive experiments training and testing hidden units in de...
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03/28/2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
Multiple different approaches of generating adversarial examples have be...
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03/21/2017
Deep Learning for Explicitly Modeling Optimization Landscapes
In all but the most trivial optimization problems, the structure of the ...
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02/03/2017
Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data
Real-time optimization of traffic flow addresses important practical pro...
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03/13/2016
Learning Typographic Style
Typography is a ubiquitous art form that affects our understanding, perc...
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12/01/2015
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision
Feature selection is essential for effective visual recognition. We prop...
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11/19/2015