conftrace_

variational autoencoder

1288 papers

Explore in graph

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

Disentangling Representations of Text by Masking Transformers EMNLP 2021
Protecting Gender and Identity with Disentangled Speech Representations INTERSPEECH 2021
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains UAI 2021
Probabilistic task modelling for meta-learning UAI 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching NIPS 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders NIPS 2021
Learning Riemannian Manifolds for Geodesic Motion Skills RSS 2021
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation EACL 2021
Generative Text Modeling through Short Run Inference EACL 2021
VariTex: Variational Neural Face Textures ICCV 2021
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021
Learning Event Graph Knowledge for Abductive Reasoning IJCNLP 2021
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews IJCNLP 2021
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion EMNLP 2021
Factorising Meaning and Form for Intent-Preserving Paraphrasing IJCNLP 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization NIPS 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders IJCNLP 2021
Learning Disentangled Behavior Embeddings NIPS 2021
Efficient and Accurate Gradients for Neural SDEs NIPS 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness EMNLP 2021
Unsupervised Relation Extraction: A Variational Autoencoder Approach EMNLP 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021