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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)

Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Learning Mixtures of Ranking Models NIPS 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014
Unsupervised Transcription of Piano Music NIPS 2014
Greedy Subspace Clustering NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
Sparse PCA with Oracle Property NIPS 2014
Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014
Improved Distributed Principal Component Analysis NIPS 2014
Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014
Zero-shot recognition with unreliable attributes NIPS 2014
PAC-Bayesian AUC classification and scoring NIPS 2014
On Integrated Clustering and Outlier Detection NIPS 2014
A Latent Source Model for Online Collaborative Filtering NIPS 2014
Active Learning and Best-Response Dynamics NIPS 2014
Estimation with Norm Regularization NIPS 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NIPS 2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Efficient Optimization for Average Precision SVM NIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014
Analysis of Learning from Positive and Unlabeled Data NIPS 2014
Generative Adversarial Nets NIPS 2014
Bounded Regret for Finite-Armed Structured Bandits NIPS 2014