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Papers
Variational Autoencoders: A Harmonic Perspective
AISTATS 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
ICLR 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
EMNLP 2022
Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution
ACL 2022
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
ICLR 2022
Variational Sparse Coding with Learned Thresholding
ICML 2022
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
EMNLP 2022
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
ICML 2022
Vector Quantized Diffusion Model for Text-to-Image Synthesis
CVPR 2022
Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement
Interspeech 2022
Vector Space Interpolation for Query Expansion
AACL 2022
Wasserstein Iterative Networks for Barycenter Estimation
NeurIPS 2022
Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction
CVPR 2022
Weakly supervised causal representation learning
NeurIPS 2022
Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models
CVPR 2022
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
EMNLP 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors
NeurIPS 2021
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
NeurIPS 2021
Action-Conditioned 3D Human Motion Synthesis With Transformer VAE
ICCV 2021
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation
EMNLP 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
EMNLP 2021
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
NAACL 2021
A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families
JMLR 2021
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow
ACL 2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
ICCV 2021