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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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193
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14833
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Papers (including subtopics)

Deep Convolutional Inverse Graphics Network NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Smooth Interactive Submodular Set Cover NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Learning Wake-Sleep Recurrent Attention Models NIPS 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Adversarial Prediction Games for Multivariate Losses NIPS 2015
Rate-Agnostic (Causal) Structure Learning NIPS 2015
Copula variational inference NIPS 2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NIPS 2015
Softstar: Heuristic-Guided Probabilistic Inference NIPS 2015
Learning to Linearize Under Uncertainty NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NIPS 2015
Stochastic Expectation Propagation NIPS 2015
Gaussian Process Random Fields NIPS 2015
Decomposition Bounds for Marginal MAP NIPS 2015
On the Pseudo-Dimension of Nearly Optimal Auctions NIPS 2015
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NIPS 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015
Statistical Unfolded Logic Learning ACML 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015