latent representation

What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021 When Is Unsupervised Disentanglement Possible? NeurIPS 2021 A Bayesian Nonparametrics View into Deep Representations NeurIPS 2020 A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020 Adversarial Latent Representation Learning for Speech Enhancement Interspeech 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 Bridged Variational Autoencoders for Joint Modeling of Images and Attributes WACV 2020 Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression AAAI 2020 Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra Interspeech 2020 Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding NeurIPS 2020 CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020 Counterfactuals uncover the modular structure of deep generative models ICLR 2020 Discovering Motor Programs by Recomposing Demonstrations ICLR 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 Educating Text Autoencoders: Latent Representation Guidance via Denoising ICML 2020 Encoding Musical Style with Transformer Autoencoders ICML 2020 Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels NeurIPS 2020 Generative causal explanations of black-box classifiers NeurIPS 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 Identifying through Flows for Recovering Latent Representations ICLR 2020 Implicit Rank-Minimizing Autoencoder NeurIPS 2020 Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation COLING 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020