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SegNBDT: Visual Decision Rules for Segmentation
The black-box nature of neural networks limits model decision interpreta...
06/11/2020 ∙ by Alvin Wan, et al. ∙
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Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Computer vision has achieved great success using standardized image repr...
06/05/2020 ∙ by Bichen Wu, et al. ∙
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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
06/03/2020 ∙ by Xiaoliang Dai, et al. ∙
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CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort
Governments around the world have become increasingly frustrated with te...
05/27/2020 ∙ by David Culler, et al. ∙
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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
04/12/2020 ∙ by Alvin Wan, et al. ∙
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NBDT: Neural-Backed Decision Trees
Deep learning is being adopted in settings where accurate and justifiabl...
04/01/2020 ∙ by Alvin Wan, et al. ∙
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Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Recent model-free reinforcement learning algorithms have proposed incorp...
02/28/2018 ∙ by Vladimir Feinberg, et al. ∙
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Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Neural networks rely on convolutions to aggregate spatial information. H...
11/22/2017 ∙ by Bichen Wu, et al. ∙
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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 ...
10/19/2017 ∙ by Bichen Wu, et al. ∙
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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Object detection is a crucial task for autonomous driving. In addition t...
12/04/2016 ∙ by Bichen Wu, et al. ∙
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