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
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Papers (including subtopics)
On Inference Stability for Diffusion Models
AAAI 2024
Online Posterior Sampling with a Diffusion Prior
NeurIPS 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
ACL 2024
On Manipulating Scene Text in the Wild With Diffusion Models
WACV 2024
On Mechanistic Knowledge Localization in Text-to-Image Generative Models
ICML 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
NeurIPS 2024
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
ICLR 2024
On the Effect of (Near) Duplicate Subwords in Language Modelling
ACL 2024
On the Evaluation of Speech Foundation Models for Spoken Language Understanding
ACL 2024
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
NeurIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
ICLR 2024
On the Proper Treatment of Tokenization in Psycholinguistics
EMNLP 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024
On the Reliability of Psychological Scales on Large Language Models
EMNLP 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
ACL 2024
On the Role of Edge Dependency in Graph Generative Models
ICML 2024
On the Scalability of Diffusion-based Text-to-Image Generation
CVPR 2024
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models
ACL 2024
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling
ICML 2024
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
ICML 2024
On the Worst Prompt Performance of Large Language Models
NeurIPS 2024
On Training Data Influence of GPT Models
EMNLP 2024