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

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1644
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15958
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Papers (including subtopics)

Learning both Weights and Connections for Efficient Neural Network NIPS 2015
Bayesian dark knowledge NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Alternating Minimization for Regression Problems with Vector-valued Outputs NIPS 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
A Reduced-Dimension fMRI Shared Response Model NIPS 2015
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization NIPS 2015
Subset Selection by Pareto Optimization NIPS 2015
Parallel Correlation Clustering on Big Graphs NIPS 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
A Recurrent Latent Variable Model for Sequential Data NIPS 2015
Unsupervised Learning by Program Synthesis NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Submodular Hamming Metrics NIPS 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NIPS 2015
Deep Knowledge Tracing NIPS 2015
Generalization in Adaptive Data Analysis and Holdout Reuse NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Variational Dropout and the Local Reparameterization Trick NIPS 2015
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NIPS 2015
On the Global Linear Convergence of Frank-Wolfe Optimization Variants NIPS 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015