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)
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
NeurIPS 2018
NetGAN: Generating Graphs via Random Walks
ICML 2018
Neural Autoregressive Flows
ICML 2018
Neural Error Corrective Language Models for Automatic Speech Recognition
Interspeech 2018
Neural Latent Extractive Document Summarization
EMNLP 2018
Neural Models for Documents with Metadata
ACL 2018
NeuralREG: An end-to-end approach to referring expression generation
ACL 2018
Neural Relational Inference for Interacting Systems
ICML 2018
Neural Sparse Topical Coding
ACL 2018
Neural Syntactic Generative Models with Exact Marginalization
NAACL 2018
Neural Voice Cloning with a Few Samples
NeurIPS 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
ACL 2018
Non-Adversarial Mapping with VAEs
NeurIPS 2018
Non-Autoregressive Neural Machine Translation
ICLR 2018
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
ACL 2018
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
ICML 2018
One-Shot Unsupervised Cross Domain Translation
NeurIPS 2018
On GANs and GMMs
NeurIPS 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
IJCAI 2018
On Statistical Optimality of Variational Bayes
AISTATS 2018
On the challenges of learning with inference networks on sparse, high-dimensional data
AISTATS 2018
On the Discrimination-Generalization Tradeoff in GANs
ICLR 2018
On the regularization of Wasserstein GANs
ICLR 2018
On Unifying Deep Generative Models
ICLR 2018
Optimizing the Latent Space of Generative Networks
ICML 2018