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Neural Networks

11300 directly classified papers

Papers per year

Papers

DeepFace: Closing the Gap to Human-Level Performance in Face Verification CVPR 2014
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014
Large-scale Video Classification with Convolutional Neural Networks CVPR 2014
Deep Learning Face Representation from Predicting 10,000 Classes CVPR 2014
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition CVPR 2014
Multi-source Deep Learning for Human Pose Estimation CVPR 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
To go deep or wide in learning? AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification CVPR 2014
A Clockwork RNN ICML 2014
Learning Character-level Representations for Part-of-Speech Tagging ICML 2014
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Feedforward Learning of Mixture Models NIPS 2014
Deep Learning Face Representation by Joint Identification-Verification NIPS 2014
Low-Rank Time-Frequency Synthesis NIPS 2014
Unsupervised learning of an efficient short-term memory network NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Learning by Stretching Deep Networks ICML 2014
Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014