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)
Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge
AAAI 2026
Learnable Permutation for Structured Sparsity on Transformer Models
AAAI 2026
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
AAAI 2026
Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation
AAAI 2026
Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models
WACV 2026
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
AAAI 2026
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
Learning from Reasoning Failures via Synthetic Data Generation
AAAI 2026
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
AAAI 2026
Learning from Unknown for Open-Set Test-Time Adaptation
WACV 2026
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma
AAAI 2026
Learning More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization
AAAI 2026
Learning Spatial Decay for Vision Transformers
AAAI 2026
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
AAAI 2026
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
AAAI 2026
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
AAAI 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
AAAI 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding
WACV 2026
Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection
AAAI 2026
Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective
AAAI 2026
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving
AAAI 2026
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
EACL 2026
Leveraging Sparsity for Privacy in Collaborative Inference
WACV 2026
Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America
EACL 2026