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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
Neural Attention-Aware Hierarchical Topic Model
EMNLP 2021
Towards Generating Summaries for Lexically Confusing Code through Code Erosion
IJCAI 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation
EMNLP 2021
Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling
AAAI 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages
AAAI 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
NIPS 2021
Rectangular Flows for Manifold Learning
NIPS 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
ICML 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models
AISTATS 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs
AAAI 2021
Integrating Human Gaze Into Attention for Egocentric Activity Recognition
WACV 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression
CVPR 2021
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews
ACL 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
ACL 2021
Challenging the Semi-Supervised VAE Framework for Text Classification
EMNLP 2021
Finetuning Pretrained Transformers into Variational Autoencoders
EMNLP 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
EMNLP 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
ACL 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
ACL 2021
TVQVC: Transformer Based Vector Quantized Variational Autoencoder with CTC Loss for Voice Conversion
INTERSPEECH 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
ACL 2021
Meta-Learning Divergences for Variational Inference
AISTATS 2021
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
NAACL 2021
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