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Neural Networks

11300 directly classified papers

Papers per year

Papers

Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture CVPR 2015
DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection CVPR 2015
Convolutional Feature Masking for Joint Object and Stuff Segmentation CVPR 2015
Hierarchical-PEP Model for Real-World Face Recognition CVPR 2015
Taking a Deeper Look at Pedestrians CVPR 2015
Learning to Compare Image Patches via Convolutional Neural Networks CVPR 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection CVPR 2015
Deep Convolutional Neural Fields for Depth Estimation From a Single Image CVPR 2015
Understanding Deep Image Representations by Inverting Them CVPR 2015
Convolutional Neural Networks at Constrained Time Cost CVPR 2015
Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition CVPR 2015
Deep Networks for Saliency Detection via Local Estimation and Global Search CVPR 2015
Deep Hierarchical Parsing for Semantic Segmentation CVPR 2015
Beyond Short Snippets: Deep Networks for Video Classification CVPR 2015
3D ShapeNets: A Deep Representation for Volumetric Shapes CVPR 2015
Sketch-Based 3D Shape Retrieval Using Convolutional Neural Networks CVPR 2015
From Image-Level to Pixel-Level Labeling With Convolutional Networks CVPR 2015
Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015
Learning to Transduce with Unbounded Memory NIPS 2015
End-To-End Memory Networks NIPS 2015
Character-level Convolutional Networks for Text Classification NIPS 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NIPS 2015
Skip-Thought Vectors NIPS 2015
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction NIPS 2015
Semi-supervised Learning with Ladder Networks NIPS 2015