conftrace_

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

5
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527
1644
10862
15958
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Papers (including subtopics)

Online F-Measure Optimization NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Smooth Interactive Submodular Set Cover NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Max-Margin Majority Voting for Learning from Crowds NIPS 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Spectral Learning of Large Structured HMMs for Comparative Epigenomics NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Bayesian Active Model Selection with an Application to Automated Audiometry NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Learning Wake-Sleep Recurrent Attention Models NIPS 2015
Matrix Manifold Optimization for Gaussian Mixtures NIPS 2015
Minimum Weight Perfect Matching via Blossom Belief Propagation NIPS 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications NIPS 2015
Gradient Estimation Using Stochastic Computation Graphs NIPS 2015
Rectified Factor Networks NIPS 2015
Adaptive Stochastic Optimization: From Sets to Paths NIPS 2015
A Universal Primal-Dual Convex Optimization Framework NIPS 2015
Adversarial Prediction Games for Multivariate Losses NIPS 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NIPS 2015
Deep Visual Analogy-Making NIPS 2015