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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Reconstructing Patterns of Information Diffusion from Incomplete Observations NIPS 2011
Differentially Private M-Estimators NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NIPS 2011
Solving Decision Problems with Limited Information NIPS 2011
How Do Humans Teach: On Curriculum Learning and Teaching Dimension NIPS 2011
A rational model of causal inference with continuous causes NIPS 2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Joint 3D Estimation of Objects and Scene Layout NIPS 2011
Sparse Manifold Clustering and Embedding NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Collective Graphical Models NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Transfer from Multiple MDPs NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
How biased are maximum entropy models? NIPS 2011
Gaussian process modulated renewal processes NIPS 2011