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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'25
Papers (including subtopics)
Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia
SemEval 2023
SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data
NeurIPS 2023
Satellite Navigation and Coordination with Limited Information Sharing
L4DC 2023
SayTap: Language to Quadrupedal Locomotion
CoRL 2023
Scalable Adaptive Computation for Iterative Generation
ICML 2023
Scalable and robust tensor ring decomposition for large-scale data
UAI 2023
Scalable Distributed Massive MIMO Baseband Processing
NSDI 2023
Scalable Fair Influence Maximization
NeurIPS 2023
Scalable Membership Inference Attacks via Quantile Regression
NeurIPS 2023
Scalable Spectral Clustering with Group Fairness Constraints
AISTATS 2023
Scalable Theory-Driven Regularization of Scene Graph Generation Models
AAAI 2023
Scalable Transformer for PDE Surrogate Modeling
NeurIPS 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
NeurIPS 2023
Scale-Aware Modulation Meet Transformer
ICCV 2023
ScaleDet: A Scalable Multi-Dataset Object Detector
CVPR 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients
CVPR 2023
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
ICLR 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis
NeurIPS 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
ICLR 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
MLHC 2023
Scaling Data Generation in Vision-and-Language Navigation
ICCV 2023
Scaling Laws for Hyperparameter Optimization
NeurIPS 2023
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
WACV 2023
Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language
EMNLP 2023