Artificial Intelligence

Joint Sound Source Separation and Speaker Recognition Interspeech 2016 Joint Structural Estimation of Multiple Graphical Models JMLR 2016 K2-ABC: Approximate Bayesian Computation with Kernel Embeddings AISTATS 2016 Kernel Bayesian Inference with Posterior Regularization NeurIPS 2016 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Korean FrameNet Expansion Based on Projection of Japanese FrameNet COLING 2016 Kronecker Determinantal Point Processes NeurIPS 2016 L2 Acquisition and Production of the English Rhotic Pharyngeal Gesture Interspeech 2016 Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions Interspeech 2016 Latent Attention For If-Then Program Synthesis NeurIPS 2016 Latent Point Process Allocation AISTATS 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 Learnable Visual Markers NeurIPS 2016 Learning Action Maps of Large Environments via First-Person Vision CVPR 2016 Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016 Learning Algorithms for Second-Price Auctions with Reserve JMLR 2016 Learning and 1-bit Compressed Sensing under Asymmetric Noise COLT 2016 Learning and Forecasting Opinion Dynamics in Social Networks NeurIPS 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Learning Bayesian networks with ancestral constraints NeurIPS 2016 Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning Compact Binary Descriptors With Unsupervised Deep Neural Networks CVPR 2016 Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case PGM 2016 Learning feed-forward one-shot learners NeurIPS 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016