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)
On the Cost of Demographic Parity in Influence Maximization
AAAI 2023
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
CVPR 2023
On the Effectiveness of Curriculum Learning in Educational Text Scoring
AAAI 2023
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition
Interspeech 2023
On the Fairness Impacts of Private Ensembles Models
IJCAI 2023
On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition
Interspeech 2023
On-the-Fly Test-time Adaptation for Medical Image Segmentation
MIDL 2023
On the Gini-impurity Preservation For Privacy Random Forests
NeurIPS 2023
On the Impact of Algorithmic Recourse on Social Segregation
ICML 2023
On the Impact of Knowledge Distillation for Model Interpretability
ICML 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
NeurIPS 2023
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning
Interspeech 2023
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
ACL 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
NeurIPS 2023
On the Pitfall of Mixup for Uncertainty Calibration
CVPR 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NeurIPS 2023
On the Privacy Risks of Algorithmic Recourse
AISTATS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
ICML 2023
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
NeurIPS 2023
On the Risk of Misinformation Pollution with Large Language Models
EMNLP 2023
On the Robustness of Arabic Speech Dialect Identification
Interspeech 2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
ICCV 2023
On the Robustness of Removal-Based Feature Attributions
NeurIPS 2023
On the robustness of wav2vec 2.0 based speaker recognition systems
Interspeech 2023
On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction
EACL 2023