conftrace_

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)

Learnable Infinite Taylor Gaussian for Dynamic View Rendering CVPR 2025 Learned Image Compression with Dictionary-based Entropy Model CVPR 2025 Learned Image Transmission with Hierarchical Variational Autoencoder AAAI 2025 Learned Reference-based Diffusion Sampler for multi-modal distributions ICLR 2025 Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online CoRL 2025 Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Models ICCV 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 Learning an Implicit Physics Model for Image-based Fluid Simulation ICCV 2025 Learning A Unified Template for Gait Recognition ICCV 2025 Learning Beyond Still Frames: Scaling Vision-Language Models with Video ICCV 2025 Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning CVPR 2025 Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model ICCV 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Learning Distances from Data with Normalizing Flows and Score Matching ICML 2025 Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks ICLR 2025 Learning Equivariant Non-Local Electron Density Functionals ICLR 2025 Learning Extrapolative Sequence Transformations from Markov Chains ICML 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching ICCV 2025 Learning Flow Fields in Attention for Controllable Person Image Generation CVPR 2025 Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads EMNLP 2025 Learning from Negative Samples in Biomedical Generative Entity Linking ACL 2025 Learning general Gaussian mixtures with efficient score matching COLT 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing CVPR 2025 Learning Implicit Features with Flow-Infused Transformations for Realistic Virtual Try-On ICCV 2025