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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)

Bayesian Compression for Deep Learning NIPS 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NIPS 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols NIPS 2017
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback NIPS 2017
Linearly constrained Gaussian processes NIPS 2017
Generalizing GANs: A Turing Perspective NIPS 2017
Communication-Efficient Distributed Learning of Discrete Distributions NIPS 2017
VAIN: Attentional Multi-agent Predictive Modeling NIPS 2017
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis NIPS 2017
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction NIPS 2017
Targeting EEG/LFP Synchrony with Neural Nets NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Probabilistic Rule Realization and Selection NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NIPS 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
Safe and Nested Subgame Solving for Imperfect-Information Games NIPS 2017
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NIPS 2017
From Parity to Preference-based Notions of Fairness in Classification NIPS 2017
Pixels to Graphs by Associative Embedding NIPS 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Concrete Dropout NIPS 2017
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NIPS 2017