Artificial Intelligence

Falling Rule Lists AISTATS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Fast Distributed k-Center Clustering with Outliers on Massive Data NeurIPS 2015 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks NeurIPS 2015 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 Fast Lifted MAP Inference via Partitioning NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference NeurIPS 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015 Fill and Transfer: A Simple Physics-Based Approach for Containability Reasoning ICCV 2015 Finding Galaxies in the Shadows of Quasars with Gaussian Processes ICML 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NeurIPS 2015 Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 From Dependency to Causality: A Machine Learning Approach JMLR 2015 From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning ICCV 2015 Fully Connected Object Proposals for Video Segmentation ICCV 2015 Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NeurIPS 2015 Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015 Gaussian Process Random Fields NeurIPS 2015 Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization CVPR 2015 Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! ICCV 2015 Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization RSS 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Gradient Estimation Using Stochastic Computation Graphs NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015