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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)

Low-Rank Time-Frequency Synthesis NIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NIPS 2014
LSDA: Large Scale Detection through Adaptation NIPS 2014
Deep Joint Task Learning for Generic Object Extraction NIPS 2014
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Robust Classification Under Sample Selection Bias NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Bandit Convex Optimization: Towards Tight Bounds NIPS 2014
Consistency of weighted majority votes NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014