latent feature

A Biologically Plausible Neural Network for Slow Feature Analysis NeurIPS 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020 Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020 DoLFIn: Distributions over Latent Features for Interpretability COLING 2020 Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection AAAI 2020 Attribute Attention for Semantic Disambiguation in Zero-Shot Learning ICCV 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning CVPR 2019 Scalable High-Order Gaussian Process Regression AISTATS 2019 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Deep Generative Models for Relational Data with Side Information ICML 2017 Learning User Dependencies for Recommendation IJCAI 2017 A Sparse Interactive Model for Matrix Completion with Side Information NeurIPS 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Linear dynamical neural population models through nonlinear embeddings NeurIPS 2016 Markov Latent Feature Models ICML 2016 Predicting Restaurant Consumption Level through Social Media Footprints COLING 2016 DeepMPC: Learning Deep Latent Features for Model Predictive Control RSS 2015 Latent feature regression for multivariate count data AISTATS 2015 Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010