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Papers (including subtopics)

Log-Linear System Combination Using Structured Support Vector Machines Interspeech 2016 Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 Loss Minimization and Parameter Estimation with Heavy Tails JMLR 2016 Lower Frame Rate Neural Network Acoustic Models Interspeech 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling Interspeech 2016 Low-rank Solutions of Linear Matrix Equations via Procrustes Flow ICML 2016 LSTM-Based NeuroCRFs for Named Entity Recognition Interspeech 2016 MAGES: A Multilingual Angle-integrated Grouping-based Entity Summarization System COLING 2016 Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System Interspeech 2016 Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels CVPR 2016 Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development Interspeech 2016 Markov Latent Feature Models ICML 2016 Matching Networks for One Shot Learning NeurIPS 2016 Material Classification Using Raw Time-Of-Flight Measurements CVPR 2016 Mathematical Information Retrieval based on Type Embeddings and Query Expansion COLING 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016 MEKA: A Multi-label/Multi-target Extension to WEKA JMLR 2016