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)
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews
ACL 2023
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
CVPR 2023
Pairwise GUI Dataset Construction Between Android Phones and Tablets
NeurIPS 2023
Parallel Context Windows for Large Language Models
ACL 2023
Parallel-mentoring for Offline Model-based Optimization
NeurIPS 2023
Parallel Sampling of Diffusion Models
NeurIPS 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NeurIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
NeurIPS 2023
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation
Interspeech 2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
ACL 2023
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Interspeech 2023
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Interspeech 2023
Parameter-Efficient Model Adaptation for Vision Transformers
AAAI 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
EACL 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
EMNLP 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
EMNLP 2023
Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients
EMNLP 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
NeurIPS 2023
Parameter-Efficient Tuning with Special Token Adaptation
EACL 2023
Part-Aware Transformer for Generalizable Person Re-identification
ICCV 2023
Part-Based Models Improve Adversarial Robustness
ICLR 2023
Partial Network Cloning
CVPR 2023
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
JMLR 2023
Participatory Budgeting: Data, Tools and Analysis
IJCAI 2023
Participatory Personalization in Classification
NeurIPS 2023