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latent representation

514 papers

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Co-occurring keywords · papers mentioning both

variational autoencoder (123) representation learning (71) generative model (56) unsupervised learning (38) variational inference (38) diffusion model (27) image generation (23) disentangled representation (21) latent space (18) self-supervised learning (18)

Papers

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NeurIPS 2024 Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis CVPR 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ICLR 2024 Latent Representation Entropy Density for Distribution Shift Detection UAI 2024 Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities COLING 2024 Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection CVPR 2024 Learning Group Actions on Latent Representations NeurIPS 2024 Learning Latent Dynamic Robust Representations for World Models ICML 2024 Learning Truncated Causal History Model for Video Restoration NeurIPS 2024 Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction ICLR 2024 Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data ICLR 2024 MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models NeurIPS 2024 Mapping the Multiverse of Latent Representations ICML 2024 Metric Space Magnitude for Evaluating the Diversity of Latent Representations NeurIPS 2024 Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis MLHC 2024 Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking CVPR 2024 Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior WACV 2024 NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis ICLR 2024 Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning ICLR 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models NAACL 2024 PointInfinity: Resolution-Invariant Point Diffusion Models CVPR 2024 Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins MIDL 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models ICML 2024 Removing Biases from Molecular Representations via Information Maximization ICLR 2024