The Power of Ensembles for Active Learning in Image Classification

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Items 401–500 of 654

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14. Ensemble learning via supervision augmentation for white matter hyperintensity segmentation
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20. Efficient Deep-Learning-Assisted Annotation for Medical Image Segmentation
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22. Regularization Strength Impact on Neural Network Ensembles
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28. Active metric learning with hybrid information for ordinal classification
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32. An Active Learning Algorithm for Image Classification Based on Difficulty and Competence
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33. Active learning for cross-sentence n-ary relation extraction
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37. Enhancing Robustness in Multi-modal CT Image Segmentation with a Clustering-based Deep Active Learning Approach
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38. CoLAL: Co-learning Active Learning for Text Classification
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39. Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios
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40. Learning with Limited Labelled Data
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41. Human-in-the-Loop (HITL) Learning for Identifying Glioblastoma Hallmarks on H&E Slides
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42. Object Recognition Consistency in Regression for Active Detection
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43. An Active Learning Framework for Continuous Rapid Rumor Detection in Evolving Social Media
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44. Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain
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45. Box-Level Class-Balanced Sampling For Active Object Detection
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46. Adaptive granular data compression and interval granulation for efficient classification
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47. TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection
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48. LOODM: Live Out-Of-Distribution Mitigation During Human Pose Dataset Production
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49. Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection
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50. Learn 3D VQA Better with Active Selection and Reannotation
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51. STT-GS: Sample-Then-Transmit Edge Gaussian Splatting With Joint Client Selection and Power Control
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52. MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training
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53. Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
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54. ALANNO: An Active Learning Annotation System for Mortals
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55. On the Robustness of Active Learning
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56. Active Bagging Ensemble Selection
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57. MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning
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58. CIRAL: a hybrid active learning framework for plankon taxa labeling
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59. Coronavirus Detection Using Two Step-AS Clustering and Ensemble Neural Network Model
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60. An efficient multi-functional deep learning model for effective medical image classification using skin lesion database
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61. A DNN-Ensemble Method for Error Reduction and Training Data Selection in DNN Based Modeling
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62. Complementary Label Queries for Efficient Active Learning
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63. Scalable Batch Acquisition for Deep Bayesian Active Learning
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64. Reinforced Learning for Label-Efficient 3D Face Reconstruction
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65. infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
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66. Siamese Network Representation for Active Learning
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67. Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection
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68. Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization
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69. Augmented Memory Networks for Streaming-Based Active One-Shot Learning
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71. Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems
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72. Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
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73. Counting People by Estimating People Flows
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74. Learning Novel Objects Continually Through Curiosity
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75. Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud
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76. regAL: Python package for active learning of regression problems
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77. Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin?
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79. Classifying the content of online notepad services using active learning
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81. Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
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