Deep Learning

Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses CVPR 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Strokelets: A Learned Multi-Scale Representation for Scene Text Recognition CVPR 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 To go deep or wide in learning? AISTATS 2014 Top Rank Optimization in Linear Time NeurIPS 2014 Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014 Transfer Joint Matching for Unsupervised Domain Adaptation CVPR 2014 Transformation Pursuit for Image Classification CVPR 2014 Triangulation Embedding and Democratic Aggregation for Image Search CVPR 2014 Two-Stream Convolutional Networks for Action Recognition in Videos NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Unsupervised learning of an efficient short-term memory network NeurIPS 2014 Unsupervised Learning of Dictionaries of Hierarchical Compositional Models CVPR 2014 Unsupervised Transcription of Piano Music NeurIPS 2014 Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings NeurIPS 2014 Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014 Variational Gaussian Process State-Space Models NeurIPS 2014