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hierarchical latent variable model

8 papers

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Co-occurring keywords · papers mentioning both

bayesian inference (3) latent variable model (2) semi-supervised learning (2) recurrent ladder network (1) disease trajectory prediction (1) multi-resolution structure (1) continuous-valued function (1) disease trajectory (1) hierarchical text generation (1) task forgetting (1)

Papers

NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023 Understanding Masked Autoencoders via Hierarchical Latent Variable Models CVPR 2023 Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory ICLR 2021 Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NeurIPS 2020 Hierarchical Text Generation and Planning for Strategic Dialogue ICML 2018 Learning Hierarchical Features from Deep Generative Models ICML 2017 Recurrent Ladder Networks NeurIPS 2017 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015