Cs-Lg
Transformation Properties of Learned Visual Representations
Why does Deep Learning work? - A perspective from Group Theory
Learning Temporal Dependencies in Data Using a DBN-BLSTM
Differential Privacy and Machine Learning: a Survey and Review
Purine: A bi-graph based deep learning framework
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
MLitB: Machine Learning in the Browser
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Random Forests Can Hash
Move Evaluation in Go Using Deep Convolutional Neural Networks
Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations
Entity-Augmented Distributional Semantics for Discourse Relations
Learning unbiased features
Difference Target Propagation
Example Selection For Dictionary Learning
Teaching Deep Convolutional Neural Networks to Play Go
Learning Activation Functions to Improve Deep Neural Networks
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
Multimodal Transfer Deep Learning with Applications in Audio-Visual Recognition
Grounding Hierarchical Reinforcement Learning Models for Knowledge Transfer
Effective sampling for large-scale automated writing evaluation systems
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
