Generative Models

Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions AAAI 2020 Learning Formation of Physically-Based Face Attributes CVPR 2020 Learning from Irregularly-Sampled Time Series: A Missing Data Perspective ICML 2020 Learning Generative Models of Shape Handles CVPR 2020 Learning Health-Bots from Training Data that was Automatically Created using Paraphrase Detection and Expert Knowledge COLING 2020 Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment CVPR 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Learning Manifold Implicitly via Explicit Heat-Kernel Learning NeurIPS 2020 Learning Part Generation and Assembly for Structure-Aware Shape Synthesis AAAI 2020 Learning Sparse Prototypes for Text Generation NeurIPS 2020 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020 Learning Syllable-Level Discrete Prosodic Representation for Expressive Speech Generation Interspeech 2020 Learning to Cartoonize Using White-Box Cartoon Representations CVPR 2020 Learning to Control PDEs with Differentiable Physics ICLR 2020 Learning to Dress 3D People in Generative Clothing CVPR 2020 Learning to Generate Maps from Trajectories AAAI 2020 Learning to learn generative programs with Memoised Wake-Sleep UAI 2020 Learning to Manipulate Individual Objects in an Image CVPR 2020 Learning to Measure the Static Friction Coefficient in Cloth Contact CVPR 2020 Learning to Shadow Hand-Drawn Sketches CVPR 2020 Learning to Simulate Dynamic Environments With GameGAN CVPR 2020 Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020