Cover Image

Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Si, Chongjie, Wang, Xuehui, Wang, Yan, Yang, Xiaokang, Shen, Wei
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning
by: Si, Chongjie, et al.
Published: (2025)

Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
by: Si, Chongjie, et al.
Published: (2025)

See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition
by: Si, Chongjie, et al.
Published: (2024)

Why Can Accurate Models Be Learned from Inaccurate Annotations?
by: Si, Chongjie, et al.
Published: (2025)

Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
by: Si, Chongjie, et al.
Published: (2024)

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
by: Si, Chongjie, et al.
Published: (2025)

Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
by: Yuan, Suqin, et al.
Published: (2025)

Weight Spectra Induced Efficient Model Adaptation
by: Si, Chongjie, et al.
Published: (2025)

AdaMuon: Adaptive Muon Optimizer
by: Si, Chongjie, et al.
Published: (2025)

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning
by: Si, Chongjie, et al.
Published: (2024)

Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
by: Si, Chongjie, et al.
Published: (2025)

Adaptive Label Error Detection: A Bayesian Approach to Mislabeled Data Detection
by: Chaudhry, Zan, et al.
Published: (2026)

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
by: Si, Chongjie, et al.
Published: (2025)

Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning
by: Wang, Guangtai, et al.
Published: (2025)

Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
by: Yang, Jinghan, et al.
Published: (2025)

Multi-Instance Partial-Label Learning with Margin Adjustment
by: Tang, Wei, et al.
Published: (2025)

Realistic Evaluation of Deep Partial-Label Learning Algorithms
by: Wang, Wei, et al.
Published: (2025)

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
by: Jung, Yeonsung, et al.
Published: (2024)

FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
by: Liu, Muqing, et al.
Published: (2026)

Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling
by: Zhou, Xubin, et al.
Published: (2026)

Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2024)

Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
by: Tang, Wei, et al.
Published: (2025)

Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
by: Lanier, Michael, et al.
Published: (2024)

Batch Bayesian Active Learning with Partial Batch Label Sampling
by: Hu, Kangping, et al.
Published: (2025)

Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
by: Wei, Qi, et al.
Published: (2024)

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
by: Tian, Shiyu, et al.
Published: (2023)

Bias-Aware Mislabeling Detection via Decoupled Confident Learning
by: Li, Yunyi, et al.
Published: (2025)

Partial Label Clustering
by: Xie, Yutong, et al.
Published: (2025)

Reliable Mislabel Detection for Video Capsule Endoscopy Data
by: Werner, Julia, et al.
Published: (2026)

Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
by: Wang, Runzhong, et al.
Published: (2024)

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
by: Penaloza, Emiliano, et al.
Published: (2025)

Tuning the Right Foundation Models is What you Need for Partial Label Learning
by: He, Kuang, et al.
Published: (2025)

Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
by: Rahmani, Sana, et al.
Published: (2025)

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
by: Chen, Yu, et al.
Published: (2026)

Partial-Label Learning with a Reject Option
by: Fuchs, Tobias, et al.
Published: (2024)

Partial-Label Learning with Conformal Candidate Cleaning
by: Fuchs, Tobias, et al.
Published: (2025)

Diffusion Disambiguation Models for Partial Label Learning
by: Fan, Jinfu, et al.
Published: (2025)

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
by: George, Thomas, et al.
Published: (2024)

Delta Rectified Flow Sampling for Text-to-Image Editing
by: Beaudouin, Gaspard, et al.
Published: (2025)

Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation
by: Kou, Zhiqiang, et al.
Published: (2025)