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 Domain-Aware Detection Head with Prompt Tuning
NeurIPS 2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
EMNLP 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NeurIPS 2023
Learning Expressive Prompting With Residuals for Vision Transformers
CVPR 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
CVPR 2023
Learning From Biased Soft Labels
NeurIPS 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
NeurIPS 2023
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
AAAI 2023
Learning Functional Distributions with Private Labels
ICML 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation
NeurIPS 2023
Learning Generative Structure Prior for Blind Text Image Super-Resolution
CVPR 2023
Learning Geometry-Aware Representations by Sketching
CVPR 2023
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
Learning Invariant Molecular Representation in Latent Discrete Space
NeurIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
NeurIPS 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
NeurIPS 2023
Learning Language-Specific Layers for Multilingual Machine Translation
ACL 2023
Learning Large Graph Property Prediction via Graph Segment Training
NeurIPS 2023
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
WACV 2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
ICML 2023
Learning List-Level Domain-Invariant Representations for Ranking
NeurIPS 2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
ICLR 2023
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
AAAI 2023
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
CVPR 2023
Learning Object-Language Alignments for Open-Vocabulary Object Detection
ICLR 2023