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Deep Learning

1,856 papers

Papers per year

3
20
266
176
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Papers

Linear Antisymmetric Recurrent Neural Networks L4DC 2020
NeurOpt: Neural network based optimization for building energy management and climate control L4DC 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning L4DC 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020
Deep Learning Tubes for Tube MPC RSS 2020
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation WACV 2020
Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020
Deep Image Blending WACV 2020
Dynamic Motion Representation for Human Action Recognition WACV 2020
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020
Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020
Internet of Things (IoT) Discovery Using Deep Neural Networks WACV 2020
Generating Positive Bounding Boxes for Balanced Training of Object Detectors WACV 2020
Towards Good Practice for CNN-Based Monocular Depth Estimation WACV 2020
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors WACV 2020
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising WACV 2020
Distributed Iterative Gating Networks for Semantic Segmentation WACV 2020
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study WACV 2020
Fast Video Multi-Style Transfer WACV 2020
High-Frequency Refinement for Sharper Video Super-Resolution WACV 2020
PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color WACV 2020
Deep Equilibrium Models NIPS 2019
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NIPS 2019
Neural Jump Stochastic Differential Equations NIPS 2019
Data Cleansing for Models Trained with SGD NIPS 2019