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Papers (including subtopics)

Directly Comparing the Listening Strategies of Humans and Machines Interspeech 2016 Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series MLHC 2016 Direct vs. indirect evaluation of distributional thesauri COLING 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016 Discriminative Gaifman Models NeurIPS 2016 Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016 Discriminative Layered Nonnegative Matrix Factorization for Speech Separation Interspeech 2016 Discriminatively Embedded K-Means for Multi-View Clustering CVPR 2016 Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016 Disease Trajectory Maps NeurIPS 2016 Disentangling factors of variation in deep representation using adversarial training NeurIPS 2016 Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement Interspeech 2016 Disfluency Detection Using a Bidirectional LSTM Interspeech 2016 Distance Metric Learning for Aspect Phrase Grouping COLING 2016 Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 Distributed Multi-Task Learning AISTATS 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 Distributional Hypernym Generation by Jointly Learning Clusters and Projections COLING 2016 Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 DNN-Based Speaker Clustering for Speaker Diarisation Interspeech 2016 DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring Interspeech 2016 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016