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)
CAPTDURE: Captioned Sound Dataset of Single Sources
Interspeech 2023
Capturing Formality in Speech Across Domains and Languages
Interspeech 2023
CASSI: Contextual and Semantic Structure-based Interpolation Augmentation for Low-Resource NER
EMNLP 2023
CAST: Conditional Attribute Subsampling Toolkit for Fine-Grained Evaluation
WACV 2023
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
CVPR 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
ACL 2023
Causal Balancing for Domain Generalization
ICLR 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NeurIPS 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
ACL 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
NeurIPS 2023
Causal Fairness for Outcome Control
NeurIPS 2023
Causal information splitting: Engineering proxy features for robustness to distribution shifts
UAI 2023
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection
ACL 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Causal Matrix Completion
COLT 2023
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
NeurIPS 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
ICCV 2023
CDA: A Contrastive Data Augmentation Method for Alzheimer’s Disease Detection
ACL 2023
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
ICCV 2023
CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation
AAAI 2023
CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation
WACV 2023
Censored Fairness through Awareness
AAAI 2023
Center-Aware Adversarial Augmentation for Single Domain Generalization
WACV 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
EMNLP 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks
AAAI 2023