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)
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
CVPR 2023
Learning to Substitute Spans towards Improving Compositional Generalization
ACL 2023
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera
AAAI 2023
Learning to Transform for Generalizable Instance-wise Invariance
ICCV 2023
Learning to Upsample by Learning to Sample
ICCV 2023
Learning towards Selective Data Augmentation for Dialogue Generation
AAAI 2023
Learning To Zoom and Unzoom
CVPR 2023
Learning Transformations To Reduce the Geometric Shift in Object Detection
CVPR 2023
Learning under Label Proportions for Text Classification
EMNLP 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
ICML 2023
Learning useful representations for shifting tasks and distributions
ICML 2023
Learning with Auxiliary Activation for Memory-Efficient Training
ICLR 2023
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning
ICCV 2023
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
ICLR 2023
Learn More for Food Recognition via Progressive Self-Distillation
AAAI 2023
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
NeurIPS 2023
LECO: Improving Early Exiting via Learned Exits and Comparison-based Exiting Mechanism
ACL 2023
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
CVPR 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning
EMNLP 2023
Lens Parameter Estimation for Realistic Depth of Field Modeling
ICCV 2023
Less is More: Focus Attention for Efficient DETR
ICCV 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
ICML 2023
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
AAAI 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
IJCAI 2023
Lessons Learned from a Citizen Science Project for Natural Language Processing
EACL 2023