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)
PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color
WACV 2020
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder
EMNLP 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
CVPR 2020
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation
CVPR 2020
Quantized Variational Inference
NeurIPS 2020
Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Speech Generation
Interspeech 2020
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
AISTATS 2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
ICML 2020
Real or Not Real, that is the Question
ICLR 2020
Real-World Automatic Makeup via Identity Preservation Makeup Net
IJCAI 2020
Reciprocal Adversarial Learning via Characteristic Functions
NeurIPS 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
EMNLP 2020
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
ICLR 2020
Recovering and Simulating Pedestrians in the Wild
CoRL 2020
Recurrent babbling: evaluating the acquisition of grammar from limited input data
CoNLL 2020
Recursive Inference for Variational Autoencoders
NeurIPS 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
MIDL 2020
Region Normalization for Image Inpainting
AAAI 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
AISTATS 2020
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
CVPR 2020
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
ICLR 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
NeurIPS 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning
NeurIPS 2020
Relativistic Discriminator: A One-Class Classifier for Generalized Iris Presentation Attack Detection
WACV 2020