Neural Networks

End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015 End-To-End Memory Networks NeurIPS 2015 Enforcing balance allows local supervised learning in spiking recurrent networks NeurIPS 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture CVPR 2015 FlowNet: Learning Optical Flow With Convolutional Networks ICCV 2015 From Facial Parts Responses to Face Detection: A Deep Learning Approach ICCV 2015 From Image-Level to Pixel-Level Labeling With Convolutional Networks CVPR 2015 Fully Convolutional Networks for Semantic Segmentation CVPR 2015 Gated Feedback Recurrent Neural Networks ICML 2015 Generative Moment Matching Networks ICML 2015 Going Deeper With Convolutions CVPR 2015 HARF: Hierarchy-Associated Rich Features for Salient Object Detection ICCV 2015 HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition ICCV 2015 Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NeurIPS 2015 Hierarchical Convolutional Features for Visual Tracking ICCV 2015 Hierarchical-PEP Model for Real-World Face Recognition CVPR 2015 Holistically-Nested Edge Detection ICCV 2015 How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? ICML 2015 Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks ICCV 2015 Human Parsing With Contextualized Convolutional Neural Network ICCV 2015 Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NeurIPS 2015 Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition CVPR 2015 Interactive Control of Diverse Complex Characters with Neural Networks NeurIPS 2015 Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit JMLR 2015