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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)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
Parameter-Free Online Learning via Model Selection NIPS 2017
Predicting User Activity Level In Point Processes With Mass Transport Equation NIPS 2017
The Importance of Communities for Learning to Influence NIPS 2017
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra NIPS 2017
Counterfactual Fairness NIPS 2017
Runtime Neural Pruning NIPS 2017
Monte-Carlo Tree Search by Best Arm Identification NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
A Sample Complexity Measure with Applications to Learning Optimal Auctions NIPS 2017
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NIPS 2017
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System NIPS 2017
MarrNet: 3D Shape Reconstruction via 2.5D Sketches NIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons NIPS 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NIPS 2017
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems NIPS 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Consistent Multitask Learning with Nonlinear Output Relations NIPS 2017
End-to-end Differentiable Proving NIPS 2017
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Active Learning from Peers NIPS 2017