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)
Towards Memorization-Free Diffusion Models
CVPR 2024
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
CVPR 2024
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
WACV 2024
Towards More Unified In-context Visual Understanding
CVPR 2024
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline
Interspeech 2024
Towards Neural Architecture Search through Hierarchical Generative Modeling
ICML 2024
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
NeurIPS 2024
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
ICLR 2024
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
ACL 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
NeurIPS 2024
Towards Practical Non-Adversarial Distribution Matching
AISTATS 2024
Towards Realistic Generative 3D Face Models
WACV 2024
Towards Realistic Scene Generation with LiDAR Diffusion Models
CVPR 2024
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
NeurIPS 2024
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
AAAI 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
ICML 2024
Towards training digitally-tied analog blocks via hybrid gradient computation
NeurIPS 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
CVPR 2024
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
CVPR 2024
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation
AAAI 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NeurIPS 2024
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
NeurIPS 2024
Towards Variable and Coordinated Holistic Co-Speech Motion Generation
CVPR 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
Towards Visual Text Design Transfer Across Languages
NeurIPS 2024