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)
UniSpeaker: A Unified Approach for Multimodality-driven Speaker Generation
EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora
EMNLP 2025
UnityAI Guard: Pioneering Toxicity Detection Across Low-Resource Indian Languages
EMNLP 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation
ICCV 2025
Universal Domain Adaptation for Semantic Segmentation
CVPR 2025
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
AAAI 2025
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
ICLR 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models
NAACL 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
AAAI 2025
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
ICLR 2025
Unlearning the Noisy Correspondence Makes CLIP More Robust
ICCV 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
CVPR 2025
Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
EMNLP 2025
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
ACL 2025
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
ICLR 2025
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
AAAI 2025
Unleashing Vecset Diffusion Model for Fast Shape Generation
ICCV 2025
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
AAAI 2025
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
ICCV 2025
Unlocking Generalization Power in LiDAR Point Cloud Registration
CVPR 2025
Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025
Unlocking Post-hoc Dataset Inference with Synthetic Data
ICML 2025
Unlocking Speech Instruction Data Potential with Query Rewriting
ACL 2025