Co-occurring keywords · papers mentioning both
Papers
Poisson Variational Autoencoder
NeurIPS 2024
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
AAAI 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
NeurIPS 2023
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
NeurIPS 2023
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
AAAI 2023
RevUp: Revise and Update Information Bottleneck for Event Representation
EACL 2023
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
AAAI 2023
Unbiased learning of deep generative models with structured discrete representations
NeurIPS 2023
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
AISTATS 2022
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation
ACL 2022
Learning Interpretable Latent Dialogue Actions With Less Supervision
AACL 2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
EMNLP 2022
Long Text Generation with Topic-aware Discrete Latent Variable Model
EMNLP 2022
PCVAE: Generating Prior Context for Dialogue Response Generation
IJCAI 2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
ICML 2022
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
ICML 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
NeurIPS 2021
Coupled Gradient Estimators for Discrete Latent Variables
NeurIPS 2021
Event Representation with Sequential, Semi-Supervised Discrete Variables
NAACL 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
ICML 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport
ACML 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
ICLR 2021
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
ICML 2020
Discrete Latent Variable Representations for Low-Resource Text Classification
ACL 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
NeurIPS 2020