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
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2
10
11
10
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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
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'15
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Papers (including subtopics)
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
AAAI 2024
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications
CVPR 2024
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
EMNLP 2024
OneLLM: One Framework to Align All Modalities with Language
CVPR 2024
One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits
CoRL 2024
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
CVPR 2024
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
ACL 2024
One-Prompt to Segment All Medical Images
CVPR 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
CVPR 2024
On Error Propagation of Diffusion Models
ICLR 2024
One-Shot Open Affordance Learning with Foundation Models
CVPR 2024
One-Shot Structure-Aware Stylized Image Synthesis
CVPR 2024
One-Step Diffusion Distillation through Score Implicit Matching
NeurIPS 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
NeurIPS 2024
One Style Is All You Need To Generate a Video
WACV 2024
One Thousand and One Pairs: A “novel” challenge for long-context language models
EMNLP 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
NeurIPS 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
CVPR 2024
On Exact Inversion of DPM-Solvers
CVPR 2024
On Fake News Detection with LLM Enhanced Semantics Mining
EMNLP 2024
On Feynman-Kac training of partial Bayesian neural networks
AISTATS 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
ICLR 2024
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NeurIPS 2024