disentangled representation

Generating Sentences from Disentangled Syntactic and Semantic Spaces ACL 2019 Group-based Learning of Disentangled Representations with Generalizability for Novel Contents IJCAI 2019 Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos ICCV 2019 Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation Interspeech 2019 Information Competing Process for Learning Diversified Representations NeurIPS 2019 In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations CVPR 2019 Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion Interspeech 2019 Joint Face Detection and Facial Motion Retargeting for Multiple Faces CVPR 2019 Learning Conceptual Spaces with Disentangled Facets CoNLL 2019 Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019 Learning Disentangled Representation for Robust Person Re-identification NeurIPS 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Disentangled Semantic Representation for Domain Adaptation IJCAI 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction IJCAI 2019 Multi-Agent Reinforcement Learning with Multi-Step Generative Models CoRL 2019 Multi-Attribute Transfer via Disentangled Representation AAAI 2019 Multi-mapping Image-to-Image Translation via Learning Disentanglement NeurIPS 2019 Multi-Object Representation Learning with Iterative Variational Inference ICML 2019 Musical Composition Style Transfer via Disentangled Timbre Representations IJCAI 2019 One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization Interspeech 2019 One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams Interspeech 2019 On the Fairness of Disentangled Representations NeurIPS 2019 On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset NeurIPS 2019 Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision ICLR 2019