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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
Feature Space Particle Inference for Neural Network Ensembles
ICML 2022
Posterior Matching for Arbitrary Conditioning
NIPS 2022
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
ICML 2022
Jointly Learning Guidance Induction and Faithful Summary Generation via Conditional Variational Autoencoders
NAACL 2022
Bit Prioritization in Variational Autoencoders via Progressive Coding
ICML 2022
Resampling Base Distributions of Normalizing Flows
AISTATS 2022
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
ICML 2022
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking
ACL 2022
Is Discourse Role Important for Emotion Recognition in Conversation?
AAAI 2022
Continual Learning via Sequential Function-Space Variational Inference
ICML 2022
Variational Inference for Infinitely Deep Neural Networks
ICML 2022
Laplacian Autoencoders for Learning Stochastic Representations
NIPS 2022
Posterior Collapse of a Linear Latent Variable Model
NIPS 2022
Function-space Inference with Sparse Implicit Processes
ICML 2022
Learning Interpretable Latent Dialogue Actions With Less Supervision
AACL 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
ICML 2022
Weakly supervised causal representation learning
NIPS 2022
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
ICML 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
UAI 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
ACML 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
ICML 2022
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
ACL 2022
Creative Painting with Latent Diffusion Models
COLING 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
ICML 2022
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