The Power of Ensembles for Active Learning in Image Classification

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Items 501–600 of 654

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21. Minimum Cost Active Labeling.
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22. Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
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27. Multiclass Autoencoder-Based Active Learning for Sensor-Based Human Activity Recognition in Iot Applications
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30. Knowledge-driven Active Learning
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31. Reducing Costs in Building a Dataset Using Deep and Active Learning
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33. Active Learning Strategies for Hierarchical Labeling Microtasks
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34. Person Re-Identification via Active Hard Sample Mining
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38. Optimal Sampling Density for Nonparametric Regression
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41. Cross-Task and Cross-Model Active Learning with Meta Features
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43. Confidence-Aware Active Feedback for Efficient Instance Search
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50. Active Learning from the Web
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51. Optimizing Hyperparameters for MINIST Dataset Classification using Deep Learning Techniques
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52. Defect Detection on Steel Surface with Deep Active Learning Methods on Fewer Data
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53. Efficient Deep-Learning-Assisted Annotation for Medical Image Segmentation
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54. End to End Active Learning Framework for Chest-Abdominal Ct Scans Segmentation
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55. Uncertainty Estimation in Neural Networks Through Multi-Task Learning
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56. Active Anomaly Detection for Autonomous Robots: A Benchmark
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57. Task-Aware Graph Convolutional Network for Active Learning
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61. Active Interactive Labelling Massive Samples for Object Detection
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62. Active Learning—Review
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