Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Fuente:
arXiv
Saved in:
| Main Authors: | Zong, Chen-Chen, Wang, Ye-Wen, Ning, Kun-Peng, Ye, Hai-Bo, Huang, Sheng-Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
by: Zong, Chen-Chen, et al.
Published: (2024)
by: Zong, Chen-Chen, et al.
Published: (2024)
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
by: Zong, Chen-Chen, et al.
Published: (2025)
by: Zong, Chen-Chen, et al.
Published: (2025)
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
by: Zong, Chen-Chen, et al.
Published: (2026)
by: Zong, Chen-Chen, et al.
Published: (2026)
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
by: Wang, Ye-Wen, et al.
Published: (2024)
by: Wang, Ye-Wen, et al.
Published: (2024)
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)
by: Zong, Chen-Chen, et al.
Published: (2026)
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning
by: Wan, Wenhai, et al.
Published: (2023)
by: Wan, Wenhai, et al.
Published: (2023)
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
by: Luo, Qin-Wen, et al.
Published: (2025)
by: Luo, Qin-Wen, et al.
Published: (2025)
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Inconsistency-Based Data-Centric Active Open-Set Annotation
by: Mao, Ruiyu, et al.
Published: (2024)
by: Mao, Ruiyu, et al.
Published: (2024)
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
by: Luo, Qin-Wen, et al.
Published: (2024)
by: Luo, Qin-Wen, et al.
Published: (2024)
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
by: Huang, Sheng-Jun, et al.
Published: (2024)
by: Huang, Sheng-Jun, et al.
Published: (2024)
ActiveLab: Active Learning with Re-Labeling by Multiple Annotators
by: Goh, Hui Wen, et al.
Published: (2023)
by: Goh, Hui Wen, et al.
Published: (2023)
The Limits of Differential Privacy in Online Learning
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
Energy-Based Open-Set Active Learning for Object Classification
by: Lyu, Zongyao, et al.
Published: (2026)
by: Lyu, Zongyao, et al.
Published: (2026)
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
by: Yang, Penghui, et al.
Published: (2024)
by: Yang, Penghui, et al.
Published: (2024)
Understanding the Essence: Delving into Annotator Prototype Learning for Multi-Class Annotation Aggregation
by: Chen, Ju, et al.
Published: (2025)
by: Chen, Ju, et al.
Published: (2025)
ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning
by: Zhang, Qin, et al.
Published: (2024)
by: Zhang, Qin, et al.
Published: (2024)
Adaptive Resolving Methods for Reinforcement Learning with Function Approximations
by: Jiang, Jiashuo, et al.
Published: (2025)
by: Jiang, Jiashuo, et al.
Published: (2025)
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
by: Ye, Zeqi, et al.
Published: (2025)
by: Ye, Zeqi, et al.
Published: (2025)
Efficient Online Decision Tree Learning with Active Feature Acquisition
by: Rahbar, Arman, et al.
Published: (2023)
by: Rahbar, Arman, et al.
Published: (2023)
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
by: Ye, Yuanchang, et al.
Published: (2025)
by: Ye, Yuanchang, et al.
Published: (2025)
Open Set Label Shift with Test Time Out-of-Distribution Reference
by: Ye, Changkun, et al.
Published: (2025)
by: Ye, Changkun, et al.
Published: (2025)
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)
by: Fan, Heng-Bo, et al.
Published: (2024)
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Uncertainty-Aware Graph Structure Learning
by: Han, Shen, et al.
Published: (2025)
by: Han, Shen, et al.
Published: (2025)
Uncertainty for Active Learning on Graphs
by: Fuchsgruber, Dominik, et al.
Published: (2024)
by: Fuchsgruber, Dominik, et al.
Published: (2024)
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
A Scalable Algorithm for Active Learning
by: Chen, Youguang, et al.
Published: (2024)
by: Chen, Youguang, et al.
Published: (2024)
Robust Learning under Hybrid Noise
by: Wei, Yang, et al.
Published: (2024)
by: Wei, Yang, et al.
Published: (2024)
RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
by: Shi, Zhenkun, et al.
Published: (2026)
by: Shi, Zhenkun, et al.
Published: (2026)
Understanding Uncertainty-based Active Learning Under Model Mismatch
by: Rahmati, Amir Hossein, et al.
Published: (2024)
by: Rahmati, Amir Hossein, et al.
Published: (2024)
CoAction: Cross-task Correlation-aware Pareto Set Learning
by: Chen, Xinyue, et al.
Published: (2026)
by: Chen, Xinyue, et al.
Published: (2026)
Revisiting Active Sequential Prediction-Powered Mean Estimation
by: Sfyraki, Maria-Eleni, et al.
Published: (2026)
by: Sfyraki, Maria-Eleni, et al.
Published: (2026)
Open-CRB: Towards Open World Active Learning for 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2023)
by: Chen, Zhuoxiao, et al.
Published: (2023)
Uncertainty Regularized Evidential Regression
by: Ye, Kai, et al.
Published: (2024)
by: Ye, Kai, et al.
Published: (2024)
Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
by: Bai, Bizhe, et al.
Published: (2026)
by: Bai, Bizhe, et al.
Published: (2026)
DUAL: Dynamic Uncertainty-Aware Learning
by: Qin, Jiahao, et al.
Published: (2025)
by: Qin, Jiahao, et al.
Published: (2025)
Calibrated Uncertainty Sampling for Active Learning
by: Bui, Ha Manh, et al.
Published: (2025)
by: Bui, Ha Manh, et al.
Published: (2025)
Improving Generalization of Deep Neural Networks by Optimum Shifting
by: Zhou, Yuyan, et al.
Published: (2024)
by: Zhou, Yuyan, et al.
Published: (2024)
Similar Items
-
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
by: Zong, Chen-Chen, et al.
Published: (2024) -
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
by: Zong, Chen-Chen, et al.
Published: (2025) -
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
by: Zong, Chen-Chen, et al.
Published: (2026) -
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
by: Wang, Ye-Wen, et al.
Published: (2024) -
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)