Saved in:
| Main Authors: | Yang, Yukun, Wang, Naihao, Yang, Haixin, Li, Ruirui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.04800 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Automated Deep Segmentation and Spatial-Statistics Approach for Post-Blast Rock Fragmentation Assessment
by: Yang, Yukun
Published: (2025)
by: Yang, Yukun
Published: (2025)
Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label
by: Li, Mengke, et al.
Published: (2026)
by: Li, Mengke, et al.
Published: (2026)
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
by: Pan, Bikang, et al.
Published: (2024)
by: Pan, Bikang, et al.
Published: (2024)
$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
by: Bala, Gouranga, et al.
Published: (2024)
by: Bala, Gouranga, et al.
Published: (2024)
SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
by: Liu, Qiuhao, et al.
Published: (2025)
by: Liu, Qiuhao, et al.
Published: (2025)
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
by: Feng, Chen, et al.
Published: (2021)
by: Feng, Chen, et al.
Published: (2021)
It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
by: Harrington, Anne, et al.
Published: (2025)
by: Harrington, Anne, et al.
Published: (2025)
Ultrasound Vision-Language Alignment via Contrastive Learning
by: Lyu, Zhuoyang, et al.
Published: (2026)
by: Lyu, Zhuoyang, et al.
Published: (2026)
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
by: Wu, Yong, et al.
Published: (2024)
by: Wu, Yong, et al.
Published: (2024)
Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2026)
by: Burgert, Tom, et al.
Published: (2026)
MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
by: Ren, Dayong
Published: (2026)
by: Ren, Dayong
Published: (2026)
Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
by: Qiu, Xingyu, et al.
Published: (2025)
by: Qiu, Xingyu, et al.
Published: (2025)
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
by: Wang, Hanxuan, et al.
Published: (2025)
by: Wang, Hanxuan, et al.
Published: (2025)
Learning Confident Classifiers in the Presence of Label Noise
by: Hashmi, Asma Ahmed, et al.
Published: (2023)
by: Hashmi, Asma Ahmed, et al.
Published: (2023)
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
by: Chen, Jianan, et al.
Published: (2023)
by: Chen, Jianan, et al.
Published: (2023)
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation
by: Xu, Boxun, et al.
Published: (2026)
by: Xu, Boxun, et al.
Published: (2026)
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
by: Liang, Chao, et al.
Published: (2025)
by: Liang, Chao, et al.
Published: (2025)
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
by: Chen, Hao, et al.
Published: (2023)
by: Chen, Hao, et al.
Published: (2023)
Dendritic Convolution for Noise Image Recognition
by: Xue, Jiarui, et al.
Published: (2025)
by: Xue, Jiarui, et al.
Published: (2025)
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
by: Li, Yukun, et al.
Published: (2024)
by: Li, Yukun, et al.
Published: (2024)
Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images
by: Xiao, Lingao, et al.
Published: (2025)
by: Xiao, Lingao, et al.
Published: (2025)
TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation
by: Zhang, Peilin, et al.
Published: (2025)
by: Zhang, Peilin, et al.
Published: (2025)
A Conformal Prediction Score that is Robust to Label Noise
by: Penso, Coby, et al.
Published: (2024)
by: Penso, Coby, et al.
Published: (2024)
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
by: Zhang, Wenxuan, et al.
Published: (2024)
by: Zhang, Wenxuan, et al.
Published: (2024)
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
by: Zarin, Farahdiba, et al.
Published: (2025)
by: Zarin, Farahdiba, et al.
Published: (2025)
Expectation Maximization Pseudo Labels
by: Xu, Moucheng, et al.
Published: (2023)
by: Xu, Moucheng, et al.
Published: (2023)
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
by: Jin, Jiaqi, et al.
Published: (2025)
by: Jin, Jiaqi, et al.
Published: (2025)
Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
by: Chatzoudis, Gerasimos, et al.
Published: (2025)
by: Chatzoudis, Gerasimos, et al.
Published: (2025)
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
by: Schlachter, Pascal, et al.
Published: (2025)
by: Schlachter, Pascal, et al.
Published: (2025)
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
by: Liu, Hezhao, et al.
Published: (2025)
by: Liu, Hezhao, et al.
Published: (2025)
Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence
by: Li, Wenxin, et al.
Published: (2025)
by: Li, Wenxin, et al.
Published: (2025)
Variational Positive-incentive Noise: How Noise Benefits Models
by: Zhang, Hongyuan, et al.
Published: (2023)
by: Zhang, Hongyuan, et al.
Published: (2023)
Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
by: Jing, Long, et al.
Published: (2026)
by: Jing, Long, et al.
Published: (2026)
NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)
by: Xu, Jiayu, et al.
Published: (2026)
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)
by: Wang, Siqi, et al.
Published: (2025)
MedCondDiff: Lightweight, Robust, Semantically Guided Diffusion for Medical Image Segmentation
by: Huang, Ruirui, et al.
Published: (2025)
by: Huang, Ruirui, et al.
Published: (2025)
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
by: Zhang, Aoting, et al.
Published: (2025)
by: Zhang, Aoting, et al.
Published: (2025)
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
by: Tian, Yuxin, et al.
Published: (2024)
by: Tian, Yuxin, et al.
Published: (2024)
Similar Items
-
An Automated Deep Segmentation and Spatial-Statistics Approach for Post-Blast Rock Fragmentation Assessment
by: Yang, Yukun
Published: (2025) -
Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label
by: Li, Mengke, et al.
Published: (2026) -
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
by: Pan, Bikang, et al.
Published: (2024) -
$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
by: Wang, Jialiang, et al.
Published: (2025) -
Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
by: Bala, Gouranga, et al.
Published: (2024)