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Representation Learning

18863 directly classified papers

Papers per year

Papers

CliqueCNN: Deep Unsupervised Exemplar Learning NIPS 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA NIPS 2016
Optimal spectral transportation with application to music transcription NIPS 2016
One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016
Recurrent Face Aging CVPR 2016
Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016
Structured Receptive Fields in CNNs CVPR 2016
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NIPS 2016
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes NIPS 2016
An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016
3D Shape Attributes CVPR 2016
The Multiverse Loss for Robust Transfer Learning CVPR 2016
High Dimensional Structured Superposition Models NIPS 2016
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NIPS 2016
Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Learning Infinite RBMs with Frank-Wolfe NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NIPS 2016
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint NIPS 2016
Supervised Learning with Tensor Networks NIPS 2016
Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales CVPR 2016