deep network

Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks CVPR 2019 Shadow Removal via Shadow Image Decomposition ICCV 2019 Stochastic Deep Networks ICML 2019 Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NeurIPS 2019 This Looks Like That: Deep Learning for Interpretable Image Recognition NeurIPS 2019 Towards Robust, Locally Linear Deep Networks ICLR 2019 Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network AAAI 2019 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NeurIPS 2019 Zoom to Learn, Learn to Zoom CVPR 2019 Adversarial Time-to-Event Modeling ICML 2018 A Simple Cache Model for Image Recognition NeurIPS 2018 A Spline Theory of Deep Learning ICML 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018 Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions ICLR 2018 Critical Percolation as a Framework to Analyze the Training of Deep Networks ICLR 2018 Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018 Deep Reinforcement Learning of Region Proposal Networks for Object Detection CVPR 2018 Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images CVPR 2018 ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing CVPR 2018 Large Margin Deep Networks for Classification NeurIPS 2018 Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition CVPR 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels ICML 2018 Norm matters: efficient and accurate normalization schemes in deep networks NeurIPS 2018 ResNet with one-neuron hidden layers is a Universal Approximator NeurIPS 2018