Saved in:
| Main Authors: | Li, Mingqian, Han, Qiao, Li, Ruifeng, Yang, Yao, Chen, Hongyang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.14380 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs
by: Li, Ruifeng, et al.
Published: (2024)
by: Li, Ruifeng, et al.
Published: (2024)
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
by: Han, Qiao, et al.
Published: (2024)
by: Han, Qiao, et al.
Published: (2024)
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
by: Li, Ruifeng, et al.
Published: (2025)
by: Li, Ruifeng, et al.
Published: (2025)
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
by: Li, Ruifeng, et al.
Published: (2024)
by: Li, Ruifeng, et al.
Published: (2024)
Learning from Label Proportions with Dual-proportion Constraints
by: Ma, Tianhao, et al.
Published: (2026)
by: Ma, Tianhao, et al.
Published: (2026)
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels
by: Li, Xiang, et al.
Published: (2023)
by: Li, Xiang, et al.
Published: (2023)
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
by: Cheng, Yao, et al.
Published: (2023)
by: Cheng, Yao, et al.
Published: (2023)
Federated Learning with Only Positive Labels by Exploring Label Correlations
by: An, Xuming, et al.
Published: (2024)
by: An, Xuming, et al.
Published: (2024)
Collaborative Learning with Different Labeling Functions
by: Deng, Yuyang, et al.
Published: (2024)
by: Deng, Yuyang, et al.
Published: (2024)
Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
by: Chen, Yu, et al.
Published: (2026)
by: Chen, Yu, et al.
Published: (2026)
Graph Partial Label Learning with Potential Cause Discovering
by: Gao, Hang, et al.
Published: (2024)
by: Gao, Hang, et al.
Published: (2024)
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning
by: Li, Mengyang
Published: (2025)
by: Li, Mengyang
Published: (2025)
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Semantic-guided Representation Learning for Multi-Label Recognition
by: Zhang, Ruhui, et al.
Published: (2025)
by: Zhang, Ruhui, et al.
Published: (2025)
Multi-Label Bayesian Active Learning with Inter-Label Relationships
by: Qi, Yuanyuan, et al.
Published: (2024)
by: Qi, Yuanyuan, et al.
Published: (2024)
Learning from Ambiguous Data with Hard Labels
by: Xie, Zeke, et al.
Published: (2025)
by: Xie, Zeke, et al.
Published: (2025)
Label Forensics: Interpreting Hard Labels in Black-Box Text Classifier
by: Du, Mengyao, et al.
Published: (2025)
by: Du, Mengyao, et al.
Published: (2025)
Learning from Concealed Labels
by: Li, Zhongnian, et al.
Published: (2024)
by: Li, Zhongnian, et al.
Published: (2024)
Learning from Stochastic Labels
by: Wei, Meng, et al.
Published: (2023)
by: Wei, Meng, et al.
Published: (2023)
Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation
by: Kou, Zhiqiang, et al.
Published: (2025)
by: Kou, Zhiqiang, et al.
Published: (2025)
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
by: Yang, Yuxuan, et al.
Published: (2025)
by: Yang, Yuxuan, et al.
Published: (2025)
Online Continual Learning with Dynamic Label Hierarchies
by: Wang, Xinrui, et al.
Published: (2026)
by: Wang, Xinrui, et al.
Published: (2026)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
by: Li, Zeju, et al.
Published: (2024)
by: Li, Zeju, et al.
Published: (2024)
BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF
by: Duan, Kaiwen, et al.
Published: (2025)
by: Duan, Kaiwen, et al.
Published: (2025)
Learning with Selectively Labeled Data from Multiple Decision-makers
by: Chen, Jian, et al.
Published: (2023)
by: Chen, Jian, et al.
Published: (2023)
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning
by: Li, Xiang, et al.
Published: (2023)
by: Li, Xiang, et al.
Published: (2023)
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)
by: Kou, Zhiqiang, et al.
Published: (2026)
Optimistic Rates for Learning from Label Proportions
by: Li, Gene, et al.
Published: (2024)
by: Li, Gene, et al.
Published: (2024)
Scalable Label Distribution Learning for Multi-Label Classification
by: Zhao, Xingyu, et al.
Published: (2023)
by: Zhao, Xingyu, et al.
Published: (2023)
On the Role of Label Noise in the Feature Learning Process
by: Han, Andi, et al.
Published: (2025)
by: Han, Andi, et al.
Published: (2025)
Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies
by: Li, Zhongnian, et al.
Published: (2025)
by: Li, Zhongnian, et al.
Published: (2025)
Variational Learning Induces Adaptive Label Smoothing
by: Yang, Sin-Han, et al.
Published: (2025)
by: Yang, Sin-Han, et al.
Published: (2025)
Learning Causal Transition Matrix for Instance-dependent Label Noise
by: Li, Jiahui, et al.
Published: (2024)
by: Li, Jiahui, et al.
Published: (2024)
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
by: He, Ying, et al.
Published: (2024)
by: He, Ying, et al.
Published: (2024)
Physical formula enhanced multi-task learning for pharmacokinetics prediction
by: Li, Ruifeng, et al.
Published: (2024)
by: Li, Ruifeng, et al.
Published: (2024)
How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse
by: Ma, Xiaoxuan, et al.
Published: (2026)
by: Ma, Xiaoxuan, et al.
Published: (2026)
Label Distribution Learning from Logical Label
by: Jia, Yuheng, et al.
Published: (2023)
by: Jia, Yuheng, et al.
Published: (2023)
Refining Labeling Functions with Limited Labeled Data
by: Li, Chenjie, et al.
Published: (2025)
by: Li, Chenjie, et al.
Published: (2025)
Dual-Encoders for Extreme Multi-Label Classification
by: Gupta, Nilesh, et al.
Published: (2023)
by: Gupta, Nilesh, et al.
Published: (2023)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)
by: Dai, Yajiao, et al.
Published: (2025)
Similar Items
-
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs
by: Li, Ruifeng, et al.
Published: (2024) -
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
by: Han, Qiao, et al.
Published: (2024) -
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
by: Li, Ruifeng, et al.
Published: (2025) -
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
by: Li, Ruifeng, et al.
Published: (2024) -
Learning from Label Proportions with Dual-proportion Constraints
by: Ma, Tianhao, et al.
Published: (2026)