Artificial Intelligence

Data-Driven Topological Motion Planning with Persistent Cohomology RSS 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Decomposition Bounds for Marginal MAP NeurIPS 2015 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes CVPR 2015 DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving ICCV 2015 Deep Fried Convnets ICCV 2015 Deep Knowledge Tracing NeurIPS 2015 DeepMPC: Learning Deep Latent Features for Model Predictive Control RSS 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Deep Poisson Factor Modeling NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Dense Optical Flow Prediction From a Static Image ICCV 2015 Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NeurIPS 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Differential Recurrent Neural Networks for Action Recognition ICCV 2015 Direct Loss Minimization Inverse Optimal Control RSS 2015 Discovering Temporal Causal Relations from Subsampled Data ICML 2015 Discrete Restricted Boltzmann Machines JMLR 2015 Discriminative Robust Transformation Learning NeurIPS 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks CVPR 2015 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NeurIPS 2015 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 Efficient and Parsimonious Agnostic Active Learning NeurIPS 2015