Models
20,488 papers (23 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Generative Models (8,597)
Diffusion Models (6,478)
Large Language Models (2,815)
Variational Inference (2,186)
Vision-Language Models (839)
Language Models (763)
Foundation Models (330)
Language Modeling (92)
Variational Autoencoders (67)
Neural Radiance Fields (46)
Sequence-to-Sequence (42)
Variational Autoencoder (24)
Papers per year
2
1
2
10
11
10
13
21
25
32
42
29
68
99
237
538
946
1,088
1,362
1,486
2,589
4,304
5,567
2,006
'5
'10
'15
'20
'25
Papers (including subtopics)
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
ACL 2021
Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI
ACML 2021
Unsupervised Disentanglement of Linear-Encoded Facial Semantics
CVPR 2021
Unsupervised Image Generation With Infinite Generative Adversarial Networks
ICCV 2021
Unsupervised Learning of Compositional Energy Concepts
NeurIPS 2021
Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks
CVPR 2021
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching
ICCV 2021
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
WACV 2021
Unsupervised Object Keypoint Learning using Local Spatial Predictability
ICLR 2021
Unsupervised Opinion Summarization with Content Planning
AAAI 2021
Unsupervised Relation Extraction: A Variational Autoencoder Approach
EMNLP 2021
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks
ICCV 2021
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
WACV 2021
Using latent space regression to analyze and leverage compositionality in GANs
ICLR 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages
AAAI 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
ICCV 2021
Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
Interspeech 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021
Variational Diffusion Models
NeurIPS 2021
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
ICCV 2021