latent representation

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning NeurIPS 2023 Context-Based Trit-Plane Coding for Progressive Image Compression CVPR 2023 Controllable Mesh Generation Through Sparse Latent Point Diffusion Models CVPR 2023 Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023 Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023 Counterfactual Generation with Identifiability Guarantees NeurIPS 2023 Coupled Variational Autoencoder ICML 2023 Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE AISTATS 2023 CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion NeurIPS 2023 Data Representations’ Study of Latent Image Manifolds ICML 2023 Deep Learning on Implicit Neural Representations of Shapes ICLR 2023 Disentanglement of Latent Representations via Causal Interventions IJCAI 2023 Geometric Autoencoders - What You See is What You Decode ICML 2023 G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network ACL 2023 Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection CVPR 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions NeurIPS 2023 Human-Guided Complexity-Controlled Abstractions NeurIPS 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 ImPosing: Implicit Pose Encoding for Efficient Visual Localization WACV 2023 Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate Interspeech 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023 Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023 Latent Phrase Matching for Dysarthric Speech Interspeech 2023 Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning CoRL 2023 Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling ICML 2023