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Neural Networks

11300 directly classified papers

Papers per year

Papers

Deep Symmetry Networks NIPS 2014
Searching for Higgs Boson Decay Modes with Deep Learning NIPS 2014
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Sequence to Sequence Learning with Neural Networks NIPS 2014
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NIPS 2014
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NIPS 2014
Do Convnets Learn Correspondence? NIPS 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NIPS 2014
Analog Memories in a Balanced Rate-Based Network of E-I Neurons NIPS 2014
Convolutional Kernel Networks NIPS 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014
General Stochastic Networks for Classification NIPS 2014
To go deep or wide in learning? AISTATS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014
Neural Decision Forests for Semantic Image Labelling CVPR 2014
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NIPS 2014
Combining the benefits of function approximation and trajectory optimization RSS 2014
Recurrent Models of Visual Attention NIPS 2014
Unsupervised learning of an efficient short-term memory network NIPS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014
Large-scale Video Classification with Convolutional Neural Networks CVPR 2014