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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)

Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NIPS 2018
Distributionally Robust Graphical Models NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction NIPS 2018
Densely Connected Attention Propagation for Reading Comprehension NIPS 2018
Query Complexity of Bayesian Private Learning NIPS 2018
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NIPS 2018
Content preserving text generation with attribute controls NIPS 2018
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NIPS 2018
Visual Reinforcement Learning with Imagined Goals NIPS 2018
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NIPS 2018
Inequity aversion improves cooperation in intertemporal social dilemmas NIPS 2018
Towards Deep Conversational Recommendations NIPS 2018
With Friends Like These, Who Needs Adversaries? NIPS 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NIPS 2018
Learning from Group Comparisons: Exploiting Higher Order Interactions NIPS 2018
End-to-End Differentiable Physics for Learning and Control NIPS 2018
Adversarial vulnerability for any classifier NIPS 2018
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans NIPS 2018
Adversarial Attacks on Stochastic Bandits NIPS 2018
Evolution-Guided Policy Gradient in Reinforcement Learning NIPS 2018
Policy Regret in Repeated Games NIPS 2018