conftrace_

variational autoencoder

1288 papers

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Co-occurring keywords

generative model (2892) variational inference (2069) latent space (854) representation learning (6206) latent representation (418) latent variable (541) disentangled representation (521) unsupervised learning (3264) latent variable model (564) generative adversarial network (1944)

Papers

NeMF: Neural Motion Fields for Kinematic Animation NIPS 2022
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation ICML 2022
Equivariant Priors for compressed sensing with unknown orientation ICML 2022
Scaling Structured Inference with Randomization ICML 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022
Effective Data Augmentation for Sentence Classification Using One VAE per Class COLING 2022
An Attention-Based Method for Guiding Attribute-Aligned Speech Representation Learning INTERSPEECH 2022
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue INTERSPEECH 2022
Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement INTERSPEECH 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NIPS 2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE NIPS 2022
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding EMNLP 2022
Vector Space Interpolation for Query Expansion IJCNLP 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders INTERSPEECH 2022
Generating Diverse and Natural 3D Human Motions From Text CVPR 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis NIPS 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis NIPS 2022
Variational Autoencoders: A Harmonic Perspective AISTATS 2022
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022
Certifiably Robust Variational Autoencoders AISTATS 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022
Quantifying and Learning Linear Symmetry-Based Disentanglement ICML 2022
Vector Quantized Diffusion Model for Text-to-Image Synthesis CVPR 2022