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 Sampling Strategies for Spectral Model Sharding
NeurIPS 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection
NeurIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware
NeurIPS 2024
On the Adaptation of Unlimiformer for Decoder-Only Transformers
COLING 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NeurIPS 2024
On the Computational Complexity of Private High-dimensional Model Selection
NeurIPS 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech
NAACL 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective
AISTATS 2024
On the Effects of Data Scale on UI Control Agents
NeurIPS 2024
On the Effects of Fairness to Adversarial Vulnerability
IJCAI 2024
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models
Interspeech 2024
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
ICML 2024
On the Encoding of Gender in Transformer-based ASR Representations
Interspeech 2024
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
IJCAI 2024
On The Fairness Impacts of Hardware Selection in Machine Learning
ICML 2024
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
EACL 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
WACV 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning
ACL 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
UAI 2024
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
EMNLP 2024
On the Interplay between Fairness and Explainability
NAACL 2024
On the Limitations of Temperature Scaling for Distributions with Overlaps
ICLR 2024
On The Persona-based Summarization of Domain-Specific Documents
ACL 2024