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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Neural Adaptive Sequential Monte Carlo NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Deep Knowledge Tracing NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Rectified Factor Networks NIPS 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015
Skip-Thought Vectors NIPS 2015
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes ACML 2015
A la Carte – Learning Fast Kernels AISTATS 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015
Norm-Based Capacity Control in Neural Networks COLT 2015
Going Deeper With Convolutions CVPR 2015
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection CVPR 2015
Deep Hierarchical Parsing for Semantic Segmentation CVPR 2015
Designing Deep Networks for Surface Normal Estimation CVPR 2015
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks CVPR 2015
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015
Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015
On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015
Saliency Detection by Multi-Context Deep Learning CVPR 2015
Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015