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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)

Algorithms for CVaR Optimization in MDPs NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
LSDA: Large Scale Detection through Adaptation NIPS 2014
Deep Joint Task Learning for Generic Object Extraction NIPS 2014
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014
A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
Blossom Tree Graphical Models NIPS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014
Do Convnets Learn Correspondence? NIPS 2014
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Learning to Search in Branch and Bound Algorithms NIPS 2014
Fairness in Multi-Agent Sequential Decision-Making NIPS 2014
Learning to Discover Efficient Mathematical Identities NIPS 2014
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NIPS 2014
The Infinite Mixture of Infinite Gaussian Mixtures NIPS 2014
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Design Principles of the Hippocampal Cognitive Map NIPS 2014