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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
DAG-GNN: DAG Structure Learning with Graph Neural Networks
ICML 2019
Learning Disentangled Representation with Pairwise Independence
AAAI 2019
Bayesian Deep Collaborative Matrix Factorization
AAAI 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior
AAAI 2019
Dependency Grammar Induction with a Neural Variational Transition-Based Parser
AAAI 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
AAAI 2019
Path-Specific Counterfactual Fairness
AAAI 2019
3D Volumetric Modeling with Introspective Neural Networks
AAAI 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
EMNLP 2019
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning
MIDL 2019
Variational Conditional GAN for Fine-grained Controllable Image Generation
ACML 2019
Variational Inference from Ranked Samples with Features
ACML 2019
Trust Region Sequential Variational Inference
ACML 2019
Latent-Variable Generative Models for Data-Efficient Text Classification
IJCNLP 2019
uniblock: Scoring and Filtering Corpus with Unicode Block Information
IJCNLP 2019
Hierarchy Response Learning for Neural Conversation Generation
IJCNLP 2019
A Discrete CVAE for Response Generation on Short-Text Conversation
IJCNLP 2019
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation
IJCNLP 2019
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
IJCNLP 2019
A Deep Factorization of Style and Structure in Fonts
IJCNLP 2019
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
IJCNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
IJCNLP 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
IJCNLP 2019
Neural Gaussian Copula for Variational Autoencoder
IJCNLP 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
IJCNLP 2019
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