generative model

Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra Interspeech 2020 Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition NeurIPS 2020 CompressNet: Generative Compression at Extremely Low Bitrates WACV 2020 Conditional Generative Neural Decoding with Structured CNN Feature Prediction AAAI 2020 Constraining Variational Inference with Geometric Jensen-Shannon Divergence NeurIPS 2020 Controlling generative models with continuous factors of variations ICLR 2020 Convolutional dictionary learning based auto-encoders for natural exponential-family distributions ICML 2020 Convolutional Generation of Textured 3D Meshes NeurIPS 2020 CookGAN: Causality Based Text-to-Image Synthesis CVPR 2020 CORE: Automatic Molecule Optimization Using Copy & Refine Strategy AAAI 2020 CoSE: Compositional Stroke Embeddings NeurIPS 2020 Counterfactuals uncover the modular structure of deep generative models ICLR 2020 Cramer-Wold Auto-Encoder JMLR 2020 Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions WACV 2020 Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning CVPR 2020 CS-NLP Team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task SemEval 2020 DDSP: Differentiable Digital Signal Processing ICLR 2020 Deep Archimedean Copulas NeurIPS 2020 Deep Automodulators NeurIPS 2020 Deep Gaussian Markov Random Fields ICML 2020 Deep Generalized Convolutional Sum-Product Networks PGM 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020 Diffusion Variational Autoencoders IJCAI 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020