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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)

Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Learning with Target Prior NIPS 2012
Generalization Bounds for Domain Adaptation NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
A Polylog Pivot Steps Simplex Algorithm for Classification NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
Scalable Inference of Overlapping Communities NIPS 2012
Learning Networks of Heterogeneous Influence NIPS 2012
Learning to Align from Scratch NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Submodular-Bregman and the Lovász-Bregman Divergences with Applications NIPS 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012