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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 Nonparametric Spectral Estimation NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Learning to Multitask NIPS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NIPS 2018
Generalizing Tree Probability Estimation via Bayesian Networks NIPS 2018
SimplE Embedding for Link Prediction in Knowledge Graphs NIPS 2018
Bounded-Loss Private Prediction Markets NIPS 2018
Model Agnostic Supervised Local Explanations NIPS 2018
Nonparametric learning from Bayesian models with randomized objective functions NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
Latent Alignment and Variational Attention NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Recurrent Relational Networks NIPS 2018
Experimental Design for Cost-Aware Learning of Causal Graphs NIPS 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making NIPS 2018
A Unified View of Piecewise Linear Neural Network Verification NIPS 2018
Lifted Weighted Mini-Bucket NIPS 2018