hierarchical representation

Modeling Facial Geometry Using Compositional VAEs CVPR 2018 Multi-Layered Gradient Boosting Decision Trees NeurIPS 2018 Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects CVPR 2018 Semantic Parsing for Task Oriented Dialog using Hierarchical Representations EMNLP 2018 A Deep Network with Visual Text Composition Behavior ACL 2017 A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts EACL 2017 Eigen-Distortions of Hierarchical Representations NeurIPS 2017 Exploiting Cross-Sentence Context for Neural Machine Translation EMNLP 2017 Hierarchical Boundary-Aware Neural Encoder for Video Captioning CVPR 2017 Interpretable Structure-Evolving LSTM CVPR 2017 Poincaré Embeddings for Learning Hierarchical Representations NeurIPS 2017 Stacked Generative Adversarial Networks CVPR 2017 Complexity of Representation and Inference in Compositional Models with Part Sharing JMLR 2016 Graying the black box: Understanding DQNs ICML 2016 Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition NeurIPS 2016 3D ShapeNets: A Deep Representation for Volumetric Shapes CVPR 2015 A Multiscale Variable-Grouping Framework for MRF Energy Minimization ICCV 2015 Autoencoder Trees ACML 2015 Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition CVPR 2015 Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015 Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015 Winner-Take-All Autoencoders NeurIPS 2015 A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014 Deep Recursive Neural Networks for Compositionality in Language NeurIPS 2014 Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014