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Neural Networks

11300 directly classified papers

Papers per year

Papers

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression ICCV 2015
Enforcing balance allows local supervised learning in spiking recurrent networks NIPS 2015
Spectral Representations for Convolutional Neural Networks NIPS 2015
Convolutional Color Constancy ICCV 2015
Norm-Based Capacity Control in Neural Networks COLT 2015
HARF: Hierarchy-Associated Rich Features for Salient Object Detection ICCV 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization ICCV 2015
Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015
Sequence to Sequence - Video to Text ICCV 2015
Recurrent Convolutional Neural Network for Object Recognition CVPR 2015
Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions ICCV 2015
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection CVPR 2015
Compression Artifacts Reduction by a Deep Convolutional Network ICCV 2015
Hierarchical-PEP Model for Real-World Face Recognition CVPR 2015
Deep Learning Face Attributes in the Wild ICCV 2015
Understanding Deep Image Representations by Inverting Them CVPR 2015
From Facial Parts Responses to Face Detection: A Deep Learning Approach ICCV 2015
Learning to Compare Image Patches via Convolutional Neural Networks CVPR 2015
Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? ICML 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015
A la Carte – Learning Fast Kernels AISTATS 2015
Learning Complexity-Aware Cascades for Deep Pedestrian Detection ICCV 2015
Fully Convolutional Networks for Semantic Segmentation CVPR 2015