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Representation Learning

18863 directly classified papers

Papers per year

Papers

Column Selection via Adaptive Sampling NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Matrix Completion Under Monotonic Single Index Models NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning CVPR 2015
Sketch-Based 3D Shape Retrieval Using Convolutional Neural Networks CVPR 2015
3D ShapeNets: A Deep Representation for Volumetric Shapes CVPR 2015
Spectral Methods for Supervised Topic Models NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
Approximating Hierarchical MV-sets for Hierarchical Clustering NIPS 2014
Predicting Useful Neighborhoods for Lazy Local Learning NIPS 2014
Design Principles of the Hippocampal Cognitive Map NIPS 2014
How transferable are features in deep neural networks? NIPS 2014
Temporal Sequence Modeling for Video Event Detection CVPR 2014
Facial Expression Recognition via a Boosted Deep Belief Network CVPR 2014
Neural Word Embedding as Implicit Matrix Factorization NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Learning Mixed Multinomial Logit Model from Ordinal Data NIPS 2014