Cs-Lg
Linear Convergence of Variance-Reduced Stochastic Gradient without Strong Convexity
Support vector machine classification of dimensionally reduced structural MRI images for dementia
A Hybrid Latent Variable Neural Network Model for Item Recommendation
Exact Decoding on Latent Variable Conditional Models is NP-Hard
An Open Source Pattern Recognition Toolbox for MATLAB
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection
Semantic Graph for Zero-Shot Learning
A Generalized Markov-Chain Modelling Approach to $(1,lambda)$-ES Linear Optimization: Technical Report
Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes
On the Application of Generic Summarization Algorithms to Music
ExpertBayes: Automatically refining manually built Bayesian networks
On semidefinite relaxations for the block model
A Cascade Neural Network Architecture investigating Surface Plasmon Polaritons propagation for thin metals in OpenMP
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search
Primitives for Dynamic Big Model Parallelism
Constant Factor Approximation for Balanced Cut in the PIE model
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions
