Skip to content
conftrace_

Papers (including subtopics)

Structured Sparse Regression via Greedy Hard Thresholding NeurIPS 2016 Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016 Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016 Structure Learning of Partitioned Markov Networks ICML 2016 Structure-Leveraged Methods in Breast Cancer Risk Prediction JMLR 2016 Student Skill Models in Adaptive Testing PGM 2016 Sublinear Time Orthogonal Tensor Decomposition NeurIPS 2016 Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016 Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection Interspeech 2016 Subspace Learning with Partial Information JMLR 2016 Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings ICML 2016 Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering Interspeech 2016 Supervised learning through the lens of compression NeurIPS 2016 Supervised Learning with Tensor Networks NeurIPS 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 Supervised Quantization for Similarity Search CVPR 2016 Supervised Word Mover's Distance NeurIPS 2016 Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016 SURGE: Surface Regularized Geometry Estimation from a Single Image NeurIPS 2016 Survey Propagation beyond Constraint Satisfaction Problems AISTATS 2016 Synergy of Monotonic Rules JMLR 2016 Synthesis of MCMC and Belief Propagation NeurIPS 2016 Synthesized Classifiers for Zero-Shot Learning CVPR 2016