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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Real-Time Coarse-to-Fine Topologically Preserving Segmentation CVPR 2015 Recognize Complex Events From Static Images by Fusing Deep Channels CVPR 2015 Rectified Factor Networks NeurIPS 2015 Recurrent Convolutional Neural Network for Object Recognition CVPR 2015 Recurrent Network Models for Human Dynamics ICCV 2015 Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction NeurIPS 2015 Regressive Virtual Metric Learning NeurIPS 2015 Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015 Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 Robust PCA with compressed data NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015 SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks ICCV 2015 Saliency Detection by Multi-Context Deep Learning CVPR 2015 Salient Object Detection via Bootstrap Learning CVPR 2015 Salient Object Subitizing CVPR 2015 Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Scalable Variational Inference in Log-supermodular Models ICML 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Scene Classification With Semantic Fisher Vectors CVPR 2015 Scene Labeling With LSTM Recurrent Neural Networks CVPR 2015 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NeurIPS 2015 Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images CVPR 2015