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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)

Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning NIPS 2016
New Liftable Classes for First-Order Probabilistic Inference NIPS 2016
Generative Adversarial Imitation Learning NIPS 2016
A Bandit Framework for Strategic Regression NIPS 2016
Operator Variational Inference NIPS 2016
Unsupervised Learning for Physical Interaction through Video Prediction NIPS 2016
Constraints Based Convex Belief Propagation NIPS 2016
Select-and-Sample for Spike-and-Slab Sparse Coding NIPS 2016
Kernel Bayesian Inference with Posterior Regularization NIPS 2016
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables NIPS 2016
Parameter Learning for Log-supermodular Distributions NIPS 2016
Gaussian Processes for Survival Analysis NIPS 2016
Learning and Forecasting Opinion Dynamics in Social Networks NIPS 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NIPS 2016
Mixed vine copulas as joint models of spike counts and local field potentials NIPS 2016
Human Decision-Making under Limited Time NIPS 2016
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Generating Long-term Trajectories Using Deep Hierarchical Networks NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AUTOML 2016
Scalable Structure Discovery in Regression using Gaussian Processes AUTOML 2016