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Methodology
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Deep Learning
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Variational Inference
1946 directly classified papers
Papers per year
2005: 2
2006: 7
2007: 7
2008: 4
2009: 8
2010: 9
2011: 11
2012: 14
2013: 16
2014: 11
2015: 30
2016: 40
2017: 75
2018: 140
2019: 257
2020: 250
2021: 275
2022: 253
2023: 233
2024: 146
2025: 103
2026: 55
Papers
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
EMNLP 2022
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
AAAI 2022
VACA: Designing Variational Graph Autoencoders for Causal Queries
AAAI 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
RSS 2022
MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection
SEMEVAL 2022
Low-Precision Stochastic Gradient Langevin Dynamics
ICML 2022
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
ICML 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
ICML 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Split Hierarchical Variational Compression
CVPR 2022
Path-Gradient Estimators for Continuous Normalizing Flows
ICML 2022
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
EMNLP 2022
Is Discourse Role Important for Emotion Recognition in Conversation?
AAAI 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
NIPS 2022
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews
ACL 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
JMLR 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
ACL 2021
Multilevel Monte Carlo Variational Inference
JMLR 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
ACL 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
ACL 2021
Cascaded Head-colliding Attention
ACL 2021
Matrix Product States for Inference in Discrete Probabilistic Models
JMLR 2021
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