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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
Deep Conditional Gaussian Mixture Model for Constrained Clustering
NIPS 2021
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
NIPS 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
NIPS 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NIPS 2021
Latent Matters: Learning Deep State-Space Models
NIPS 2021
Variational Model Inversion Attacks
NIPS 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
NIPS 2021
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation
CVPR 2021
Causal Attention for Vision-Language Tasks
CVPR 2021
Variational Inference for Learning Representations of Natural Language Edits
AAAI 2021
Learning Intuitive Physics with Multimodal Generative Models
AAAI 2021
Factorising Meaning and Form for Intent-Preserving Paraphrasing
ACL 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NIPS 2021
HyperSPNs: Compact and Expressive Probabilistic Circuits
NIPS 2021
Challenges and Opportunities in High Dimensional Variational Inference
NIPS 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
NIPS 2021
Neural Attention-Aware Hierarchical Topic Model
EMNLP 2021
Open Knowledge Graphs Canonicalization using Variational Autoencoders
EMNLP 2021
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
EMNLP 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation
EMNLP 2021
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation
EMNLP 2021
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
CVPR 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
NIPS 2021
Learning Disentangled Behavior Embeddings
NIPS 2021
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