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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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Papers (including subtopics)

Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Grammar as a Foreign Language NIPS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Differentially Private Learning of Structured Discrete Distributions NIPS 2015
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NIPS 2015
Lifted Inference Rules With Constraints NIPS 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Latent Bayesian melding for integrating individual and population models NIPS 2015
On-the-Job Learning with Bayesian Decision Theory NIPS 2015
Automatic Variational Inference in Stan NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
Enforcing balance allows local supervised learning in spiking recurrent networks NIPS 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
The Self-Normalized Estimator for Counterfactual Learning NIPS 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond NIPS 2015
No-Regret Learning in Bayesian Games NIPS 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
The Human Kernel NIPS 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Learnability of Influence in Networks NIPS 2015