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)
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
CVPR 2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
ACL 2025
Selective Aggregation for Low-Rank Adaptation in Federated Learning
ICLR 2025
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
AAAI 2025
Selective Task Group Updates for Multi-Task Optimization
ICLR 2025
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
ICLR 2025
Selective Visual Prompting in Vision Mamba
AAAI 2025
Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
ACL 2025
Select-then-Route : Taxonomy guided Routing for LLMs
EMNLP 2025
Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
EMNLP 2025
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
AAAI 2025
Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs
EMNLP 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025
Self-calibration Enhanced Whole Slide Pathology Image Analysis
IJCAI 2025
Self-Clocked Round-Robin Packet Scheduling
NSDI 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation
AAAI 2025
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
ICML 2025
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
ICML 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
Self-Evolution Knowledge Distillation for LLM-based Machine Translation
COLING 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
CVPR 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Self-Pluralising Culture Alignment for Large Language Models
NAACL 2025
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
COLING 2025
Self-supervised Adversarial Purification for Graph Neural Networks
ICML 2025