Methodology
The translation of the provided Chinese text about "Methodology" into English is as follows: Methodology refers to the systematic methods and steps adopted in research or problem-solving. Its aim is to ensure the accuracy and reliability of research through a scientific and standardized process, thereby enhancing the efficiency and quality of problem-solving. In various fields, the application value of Methodology is particularly prominent; it not only helps researchers clarify their research direction but also provides a standardized operating guide for project implementation, promoting interdisciplinary cooperation and sharing of results.
Bilevel Optimization
1 papers | 3 benchmarks
Classification
66 papers | 71 benchmarks
Computational Efficiency
1 papers | 1 benchmarks
Domain Generalization
162 papers | 20 benchmarks
Chatbot
1 papers | 1 benchmarks
Point Processes
3 papers | 8 benchmarks
Dimensionality Reduction
1 papers | 2 benchmarks
Feature Engineering
1 papers | 1 benchmarks
Multi-Label Learning
1 papers | 1 benchmarks
Personalized Federated Learning
3 papers | 7 benchmarks
Graph Representation Learning
1 papers | 1 benchmarks
Continual Learning
41 papers | 32 benchmarks
Domain Adaptation
155 papers | 58 benchmarks
Neural Network Compression
1 papers | 1 benchmarks
Two-sample testing
8 papers | 5 benchmarks
Community Question Answering
2 papers | 2 benchmarks
Data Free Quantization
5 papers | 2 benchmarks
Electroencephalogram (EEG)
4 papers | 3 benchmarks
Few-Shot Learning
23 papers | 24 benchmarks
Structured Prediction
1 papers | 1 benchmarks
BIG-bench Machine Learning
7 papers | 2 benchmarks
Reinforcement Learning (RL)
2 papers | 2 benchmarks
Multi-Goal Reinforcement Learning
1 papers | 1 benchmarks
Retrieval
7 papers | 8 benchmarks
Disentanglement
2 papers | 3 benchmarks
Sparse Learning
5 papers | 3 benchmarks
Density Estimation
22 papers | 14 benchmarks
Outlier Detection
7 papers | 11 benchmarks
Zero-shot Generalization
5 papers | 1 benchmarks
General Classification
7 papers | 11 benchmarks
Incremental Learning
19 papers | 22 benchmarks
Partial Label Learning
3 papers | 11 benchmarks
Anomaly Detection
253 papers | 76 benchmarks
Feature Importance
1 papers | 6 benchmarks
Long-tail Learning
103 papers | 20 benchmarks
Unsupervised Anomaly Detection
21 papers | 17 benchmarks
Change detection for remote sensing images
2 papers | 2 benchmarks
Quantization
12 papers | 10 benchmarks
Active Learning
6 papers | 1 benchmarks
Model Compression
2 papers | 2 benchmarks
Unsupervised Domain Adaptation
111 papers | 41 benchmarks
3D Anomaly Detection
2 papers | 1 benchmarks
Few-Shot Relation Classification
1 papers | 4 benchmarks
Zero-Shot Learning
33 papers | 33 benchmarks
Distributed Optimization
1 papers | 1 benchmarks
Multi-Task Learning
7 papers | 8 benchmarks
Multi-Label Text Classification
21 papers | 20 benchmarks
Network Pruning
6 papers | 5 benchmarks
Abnormal Event Detection In Video
9 papers | 2 benchmarks
Ordinal Classification
1 papers | 1 benchmarks
Hyperparameter Optimization
1 papers | 1 benchmarks
Metric Learning
38 papers | 8 benchmarks
Object Detection
380 papers | 123 benchmarks
parameter-efficient fine-tuning
4 papers | 3 benchmarks
Model extraction
1 papers | 1 benchmarks
Gaussian Processes
1 papers | 1 benchmarks
Generalized Few-Shot Learning
5 papers | 3 benchmarks
Hierarchical Reinforcement Learning
1 papers | 1 benchmarks
Multi-agent Reinforcement Learning
3 papers | 3 benchmarks
Novel Class Discovery
1 papers | 3 benchmarks
Clustering Algorithms Evaluation
3 papers | 10 benchmarks
Anomaly Detection In Surveillance Videos
34 papers | 6 benchmarks
AutoML
2 papers | 2 benchmarks
Multi-Label Classification
37 papers | 10 benchmarks
Unsupervised MNIST
11 papers | 1 benchmarks
Continual Pretraining
2 papers | 3 benchmarks
Contrastive Learning
14 papers | 4 benchmarks
Ensemble Learning
1 papers | 1 benchmarks
Stroke Classification
1 papers | 1 benchmarks
3D Anomaly Detection and Segmentation
6 papers | 2 benchmarks
Generalized Zero-Shot Learning
11 papers | 12 benchmarks
RGB+3D Anomaly Detection and Segmentation
7 papers | 1 benchmarks
Explanation Fidelity Evaluation
1 papers | 6 benchmarks
Few-Shot Class-Incremental Learning
11 papers | 3 benchmarks
Multimodal Text and Image Classification
3 papers | 3 benchmarks
Long-tail learning with class descriptors
5 papers | 4 benchmarks
Multi-task Language Understanding
1 papers | 5 benchmarks
Stochastic Optimization
5 papers | 12 benchmarks
Depth Anomaly Detection and Segmentation
5 papers | 1 benchmarks
Multiple Instance Learning
39 papers | 5 benchmarks
Representation Learning
13 papers | 5 benchmarks
Neural Architecture Search
108 papers | 26 benchmarks
Face Quality Assessement
2 papers | 3 benchmarks
Interpretable Machine Learning
2 papers | 1 benchmarks
Meta-Learning
7 papers | 4 benchmarks
Partial Domain Adaptation
19 papers | 5 benchmarks
Bayesian Inference
1 papers | 1 benchmarks
Sentence Embeddings For Biomedical Texts
3 papers | 2 benchmarks
Unsupervised Domain Expansion
1 papers | 2 benchmarks
Unsupervised Pre-training
2 papers | 2 benchmarks
Continuously Indexed Domain Adaptation
1 papers | 3 benchmarks
Core set discovery
1 papers | 14 benchmarks
Data Augmentation
14 papers | 3 benchmarks
Federated Learning
2 papers | 12 benchmarks
Incremental Constrained Clustering
2 papers | 2 benchmarks
Inductive logic programming
1 papers | 1 benchmarks
Medical Report Generation
4 papers | 3 benchmarks
One-Shot Learning
1 papers | 1 benchmarks