Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
AAAI 2025
DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining
WACV 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
ICLR 2025
Diffusion-Based Active Learning for Distributed Client Manifolds
AAAI 2025
Diffusion-based Source-biased Model for Single Domain Generalized Object Detection
ICCV 2025
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
AAAI 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
ICCV 2025
Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning
ICCV 2025
Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
ACL 2025
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
ICLR 2025
Diffusion Sampling Correction via Approximately 10 Parameters
ICML 2025
Digital Gatekeepers: Google’s Role in Curating Hashtags and Subreddits
ACL 2025
Digital Tongues: Internet Language, Collective Identity, and Implications for Human-Computer Interaction
EMNLP 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
CVPR 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection
WACV 2025
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
ICCV 2025
Di[M]O: Distilling Masked Diffusion Models into One-step Generator
ICCV 2025
DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
ICCV 2025
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
AAAI 2025
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
ICLR 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations
ICLR 2025
DISC: Backpressure Mitigation In Multi-tier Applications With Distributed Shared Connection
NSDI 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
DiSCo: Device-Server Collaborative LLM-based Text Streaming Services
ACL 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
AAAI 2025