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
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'15
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'25
Papers (including subtopics)
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
NeurIPS 2023
Retaining Beneficial Information from Detrimental Data for Neural Network Repair
NeurIPS 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NeurIPS 2023
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation
AAAI 2023
Rethinking Data Distillation: Do Not Overlook Calibration
ICCV 2023
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment
CVPR 2023
Rethinking Feature-Based Knowledge Distillation for Face Recognition
CVPR 2023
Rethinking Federated Learning With Domain Shift: A Prototype View
CVPR 2023
Rethinking Label Refurbishment: Model Robustness under Label Noise
AAAI 2023
Rethinking Masked Language Modeling for Chinese Spelling Correction
ACL 2023
Rethinking Mobile Block for Efficient Attention-based Models
ICCV 2023
Re-Thinking Model Inversion Attacks Against Deep Neural Networks
CVPR 2023
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
CVPR 2023
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
WACV 2023
Rethinking Round-Trip Translation for Machine Translation Evaluation
ACL 2023
Rethinking Semi-supervised Learning with Language Models
ACL 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
ICLR 2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
EMNLP 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
ICCV 2023
Rethinking Vision Transformers for MobileNet Size and Speed
ICCV 2023
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models
MLHC 2023
Retrieval-Augmented Domain Adaptation of Language Models
ACL 2023
Retrieval-Augmented Multiple Instance Learning
NeurIPS 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
EMNLP 2023
Retrieval-Based Transformer for Table Augmentation
ACL 2023