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)
Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models
ICCV 2025
Scalable Extraction of Training Data from Aligned, Production Language Models
ICLR 2025
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition
AAAI 2025
Scalable Mechanistic Neural Networks
ICLR 2025
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
AAAI 2025
Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
ICLR 2025
Scalable Vision Language Model Training via High Quality Data Curation
ACL 2025
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
ICLR 2025
Scale-aware Recognition in Satellite Images under Resource Constraints
ICLR 2025
Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning
EMNLP 2025
Scale Efficient Training for Large Datasets
CVPR 2025
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation
AAAI 2025
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation
ICCV 2025
Scaling and Taming Adversarial Training with Synthetic Data
ICCV 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
EMNLP 2025
Scaling Down Text Encoders of Text-to-Image Diffusion Models
CVPR 2025
Scaling FP8 training to trillion-token LLMs
ICLR 2025
Scaling Inference-Efficient Language Models
ICML 2025
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
ICLR 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Scaling Laws for Floating–Point Quantization Training
ICML 2025
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
ICML 2025
Scaling Laws for Precision
ICLR 2025