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)
Learning from Pattern Completion: Self-supervised Controllable Generation
NeurIPS 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
AAAI 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses
NeurIPS 2024
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
NeurIPS 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
NeurIPS 2024
Learning Interactive Real-World Simulators
ICLR 2024
Learning Iterative Reasoning through Energy Diffusion
ICML 2024
Learning Latent Space Hierarchical EBM Diffusion Models
ICML 2024
Learning “look-ahead” nonlocal traffic dynamics in a ring road
L4DC 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation
CVPR 2024
Learning Multi-Faceted Prototypical User Interests
ICLR 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
NeurIPS 2024
Learning Multimodal Latent Generative Models with Energy-Based Prior
ECCV 2024
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
NeurIPS 2024
Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion
ECCV 2024
Learning Quantized Adaptive Conditions for Diffusion Models
ECCV 2024
Learning Reduced Fluid Dynamics
AAAI 2024
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
ICLR 2024
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
ICLR 2024
Learning Sparse Codes with Entropy-Based ELBOs
AISTATS 2024
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
CVPR 2024
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
ICLR 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
IJCAI 2024
Learning Subject-Aware Cropping by Outpainting Professional Photos
AAAI 2024
Learning Superconductivity from Ordered and Disordered Material Structures
NeurIPS 2024