conftrace_

latent variable

541 papers

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Co-occurring keywords

variational autoencoder (1288) variational inference (2069) latent variable model (564) generative model (2892) graphical model (864) causal inference (1630) causal discovery (460) representation learning (6206) unsupervised learning (3264) dialogue generation (454)

Papers

Deep Counterfactual Estimation with Categorical Background Variables NIPS 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NIPS 2022
Text-to-speech synthesis using spectral modeling based on non-negative autoencoder INTERSPEECH 2022
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue EMNLP 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints NIPS 2022
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning AAAI 2022
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation EMNLP 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022
Weakly Supervised Representation Learning with Sparse Perturbations NIPS 2022
Discovery of Single Independent Latent Variable NIPS 2022
Structured variational inference in Bayesian state-space models AISTATS 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation CVPR 2022
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games EMNLP 2022
Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off WACV 2022
Learning Interpretable Latent Dialogue Actions With Less Supervision IJCNLP 2022
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework NAACL 2022
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure EMNLP 2022
A Variational Hierarchical Model for Neural Cross-Lingual Summarization ACL 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NIPS 2022
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021
Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021
A universal probabilistic spike count model reveals ongoing modulation of neural variability NIPS 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021