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Representation Learning

18863 directly classified papers

Papers per year

Papers

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016
Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation ICML 2016
Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016
Structured Prediction Energy Networks ICML 2016
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016
Rich Component Analysis ICML 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016
Variable Elimination in the Fourier Domain ICML 2016
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams ICML 2016
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA ICML 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016
A Theory of Generative ConvNet ICML 2016
Uprooting and Rerooting Graphical Models ICML 2016
Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015
Multi-Task Learning for Subspace Segmentation ICML 2015
Landmarking Manifolds with Gaussian Processes ICML 2015
Streaming Sparse Principal Component Analysis ICML 2015
Online Learning of Eigenvectors ICML 2015
Learning Parametric-Output HMMs with Two Aliased States ICML 2015
Dealing with small data: On the generalization of context trees ICML 2015