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06/14/2021
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
Coronary heart disease (CHD) is the leading cause of adult death in the ...
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06/11/2020
SegNBDT: Visual Decision Rules for Segmentation
The black-box nature of neural networks limits model decision interpreta...
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06/05/2020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Computer vision has achieved great success using standardized image repr...
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06/03/2020
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
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05/27/2020
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort
Governments around the world have become increasingly frustrated with te...
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04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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04/01/2020
NBDT: Neural-Backed Decision Trees
Deep learning is being adopted in settings where accurate and justifiabl...
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02/28/2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Recent model-free reinforcement learning algorithms have proposed incorp...
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11/22/2017
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Neural networks rely on convolutions to aggregate spatial information. H...
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10/19/2017
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
In this paper, we address semantic segmentation of road-objects from 3D ...
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12/04/2016