Showing 1–20 of 77 results
/ Date/ Name
Jan 11, 2019Undirected Graphical Models as Approximate PosteriorsJul 8, 2020NVAE: A Deep Hierarchical Variational AutoencoderFeb 14, 2018DVAE++: Discrete Variational Autoencoders with Overlapping TransformationsFeb 12, 2015Discovering Human Interactions in Videos with Limited Data LabelingFeb 9, 2020On the distance between two neural networks and the stability of learningJun 10, 2021Score-based Generative Modeling in Latent SpaceMay 31, 2017Toward Robustness against Label Noise in Training Deep Discriminative Neural NetworksJun 17, 2020Contrastive Learning for Weakly Supervised Phrase GroundingMay 18, 2018DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann PriorsDec 16, 2019UNAS: Differentiable Architecture Search Meets Reinforcement LearningNov 17, 2018Semi-Supervised Semantic Image Segmentation with Self-correcting NetworksDec 15, 2021Tackling the Generative Learning Trilemma with Denoising Diffusion GANsNov 1, 2021Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn DivergenceJun 3, 2024DiffUHaul: A Training-Free Method for Object Dragging in ImagesJan 20, 2025A2SB: Audio-to-Audio Schrodinger BridgesAug 17, 2025Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and InferenceMay 10, 2025Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global AtmosphereOct 21, 2021Controllable and Compositional Generation with Latent-Space Energy-Based ModelsOct 1, 2020VAEBM: A Symbiosis between Variational Autoencoders and Energy-based ModelsDec 14, 2021Score-Based Generative Modeling with Critically-Damped Langevin Diffusion