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Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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14833
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Papers (including subtopics)

End-To-End Memory Networks NIPS 2015
Fast Distributed k-Center Clustering with Outliers on Massive Data NIPS 2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Segregated Graphs and Marginals of Chain Graph Models NIPS 2015
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability NIPS 2015
Expectation Particle Belief Propagation NIPS 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015
Is Approval Voting Optimal Given Approval Votes? NIPS 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Efficient Output Kernel Learning for Multiple Tasks NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Learning both Weights and Connections for Efficient Neural Network 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
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks NIPS 2015
Unsupervised Learning by Program Synthesis NIPS 2015
Learning Causal Graphs with Small Interventions NIPS 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NIPS 2015
Deep Knowledge Tracing NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Regret-Based Pruning in Extensive-Form Games NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015