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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Gated Feedback Recurrent Neural Networks ICML 2015
Compressing Neural Networks with the Hashing Trick ICML 2015
An Empirical Exploration of Recurrent Network Architectures ICML 2015
Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit JMLR 2015
Photonic Delay Systems as Machine Learning Implementations JMLR 2015
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses JMLR 2015
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Learning Deep Features for Scene Recognition using Places Database NIPS 2014
Deep Networks with Internal Selective Attention through Feedback Connections NIPS 2014
Feedforward Learning of Mixture Models NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Deep Learning Face Representation by Joint Identification-Verification NIPS 2014
Low-Rank Time-Frequency Synthesis NIPS 2014
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Deep Convolutional Neural Network for Image Deconvolution NIPS 2014
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NIPS 2014
Recurrent Models of Visual Attention NIPS 2014
Deep Symmetry Networks NIPS 2014
Searching for Higgs Boson Decay Modes with Deep Learning NIPS 2014
Do Convnets Learn Correspondence? NIPS 2014
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NIPS 2014
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NIPS 2014
Sequence to Sequence Learning with Neural Networks NIPS 2014