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Active Learning

1,911 papers

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Papers

Interactive Machine Comprehension with Dynamic Knowledge Graphs EMNLP 2021
Cartography Active Learning EMNLP 2021
Minimizing Annotation Effort via Max-Volume Spectral Sampling EMNLP 2021
Active Learning for Rumor Identification on Social Media EMNLP 2021
Active Learning for Argument Strength Estimation EMNLP 2021
Phrase-level Active Learning for Neural Machine Translation EMNLP 2021
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query ICCV 2021
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation ICCV 2021
Active Universal Domain Adaptation ICCV 2021
Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021
Influence Selection for Active Learning ICCV 2021
Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings ICCV 2021
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories ICCV 2021
Field-Guide-Inspired Zero-Shot Learning ICCV 2021
Contrastive Coding for Active Learning Under Class Distribution Mismatch ICCV 2021
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021
ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation ICCV 2021
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition ICCV 2021
Semi-Supervised Active Learning With Temporal Output Discrepancy ICCV 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation ICCV 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation ICCV 2021
Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021
Active Learning for Lane Detection: A Knowledge Distillation Approach ICCV 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
Dichotomous Optimistic Search to Quantify Human Perception ICML 2021