Noisy Labels

NoLa

Addresses challenges posed by incorrect or noisy labels in data. Improves model robustness and accuracy despite imperfect annotations.

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51015

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Retrieving Semantically Similar Decisions under Noisy Institutional Labels: Robust Comparison of Embedding Methods Tereza Novotna Jakub Harasta NoLa 144 0 0 05 Dec 2025
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training Zixiao Zhao Fatemeh H. Fard Jie JW Wu NoLa 65 0 0 03 Dec 2025
Learning to Clean: Reinforcement Learning for Noisy Label Correction Marzi Heidari Hanping Zhang Yuhong Guo NoLa OffRL OnRL 223 0 0 25 Nov 2025
Pre-train to Gain: Robust Learning Without Clean Labels David Szczecina Nicholas Pellegrino Paul Fieguth NoLa 105 0 0 25 Nov 2025
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels Wenzhang Du NoLa 69 0 0 21 Nov 2025
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off Nicholas Pellegrino David Szczecina Paul Fieguth NoLa 157 0 0 20 Nov 2025
Variation-Bounded Loss for Noise-Tolerant Learning Jialiang Wang Xiong Zhou Xianming Liu Gangfeng Hu Deming Zhai Junjun Jiang Haoliang Li NoLa 136 0 0 15 Nov 2025
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval Likang Peng Chao Su Wenyuan Wu Yuan Sun Dezhong Peng Xi Peng Xu Wang NoLa 116 0 0 11 Nov 2025
Sampling and Loss Weights in Multi-Domain Training Mahdi Salmani Pratik Worah Meisam Razaviyayn Vahab Mirrokni NoLa 178 0 0 10 Nov 2025
Toward Robust Signed Graph Learning through Joint Input-Target Denoising Junran Wu Beng Chin Ooi Ke Xu AAML NoLa 116 0 0 26 Oct 2025
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation Longtian Qiu Shan Ning Jiaxuan Sun Xuming He NoLa OffRL LRM 304 0 0 24 Oct 2025
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients Omar El mansouri Mohamed El Amine Seddik Salem Lahlou NoLa 254 0 0 21 Oct 2025
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? Wei Huang Andi Han Yujin Song Yilan Chen Denny Wu Difan Zou Taiji Suzuki NoLa MLT 134 0 0 20 Oct 2025
Benchmarking noisy label detection methods Henrique Pickler Jorge K. S. Kamassury Danilo Silva NoLa 128 0 0 17 Oct 2025
Robust Minimax Boosting with Performance Guarantees Santiago Mazuelas Verónica Álvarez NoLa 128 0 0 15 Oct 2025
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees Yiming Zhang Chester Holtz Gal Mishne A. Cloninger NoLa 141 0 0 14 Oct 2025
Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation Liang Li Zhou Yang Xiaofei Zhu NoLa HAI AI4TS 110 0 0 12 Oct 2025
The Effect of Label Noise on the Information Content of Neural Representations Ali Hussaini Umar Franky Kevin Nando Tezoh Jean Barbier Santiago Acevedo Alessandro Laio SSL NoLa 162 0 0 07 Oct 2025
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021 Gianmarco Perantoni Lorenzo Bruzzone NoLa 144 0 0 07 Oct 2025
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning Hengwei Zhao Zhengzhong Tu Zhuo Zheng Wei Wang Junjue Wang Rusty Feagin Wenzhe Jiao NoLa 128 0 0 30 Sep 2025
Detecting and Rectifying Noisy Labels: A Similarity-based Approach Dang Huu-Tien Minh-Phuong Nguyen Naoya Inoue NoLa 203 0 0 28 Sep 2025
LiLAW: Lightweight Learnable Adaptive Weighting to Meta-Learn Sample Difficulty and Improve Noisy Training Abhishek Moturu Anna Goldenberg Babak Taati NoLa 140 0 0 25 Sep 2025
Understand your Users, An Ensemble Learning Framework for Natural Noise Filtering in Recommender Systems Clarita Hawat Wissam Al Jurdi Jacques Bou Abdo J. Demerjian A. Makhoul NoLa 108 0 0 23 Sep 2025
Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records S. Bukhari Amritpal Singh Shifath Hossain Iram Wajahat OOD NoLa 117 0 0 15 Sep 2025
SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing Qiuhao Liu Ling Li Yao Lu Qi Xuan Zhaowei Zhu Jiaheng Wei NoLa 197 1 0 14 Sep 2025
Noisy Label Refinement with Semantically Reliable Synthetic ImagesInternational Conference on Information Photonics (ICIP), 2025 Yingxuan Li Jiafeng Mao Yusuke Matsui NoLa 132 0 0 04 Sep 2025
From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation Tao Wang Zhenxuan Zhang Yuanbo Zhou Xinlin Zhang Y. Chen Tao Tan Guang Yang Tong Tong NoLa 162 0 0 02 Sep 2025
Noise Robust One-Class Intrusion Detection on Dynamic GraphsThe European Symposium on Artificial Neural Networks (ESANN), 2025 Aleksei Liuliakov Alexander Schulz L. Hermes Barbara Hammer NoLa 137 0 0 19 Aug 2025
Combating Noisy Labels via Dynamic Connection Masking Xinlei Zhang Fan Liu Chuanyi Zhang Fan Cheng Yuhui Zheng NoLa 148 1 0 13 Aug 2025
Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information Jinghan Yang Jiayu Weng NoLa 167 0 0 11 Aug 2025
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels Jeremiah Birrell Reza Ebrahimi NoLa 117 0 0 08 Aug 2025
Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection Kunyu Zhang Lin Gu Liangchen Liu Yingke Chen Binyang Wang Jin Yan Jinhao Bi Yingying Zhu NoLa 202 0 0 04 Aug 2025
$ε$ -Softmax: Approximating One-Hot Vectors for Mitigating Label NoiseNeural Information Processing Systems (NeurIPS), 2025 Jialiang Wang Xiong Zhou Deming Zhai Junjun Jiang Xiangyang Ji Xianming Liu NoLa 214 4 0 04 Aug 2025
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models Ecem Bozkurt Antonio Ortega NoLa 128 0 0 31 Jul 2025
ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory Jianchao Wang Qingfeng Li Pengcheng Zheng X. Pu Yazhou Ren NoLa 177 2 0 24 Jul 2025
Joint Asymmetric Loss for Learning with Noisy Labels Jialiang Wang Xianming Liu Xiong Zhou Gangfeng Hu Deming Zhai Junjun Jiang Xiangyang Ji NoLa AAML 117 0 0 23 Jul 2025
CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy LabelsKnowledge Discovery and Data Mining (KDD), 2025 Ruofan Hu Dongyu Zhang Huayi Zhang Elke Rundensteiner NoLa 118 0 0 16 Jul 2025
Improving AI-Based Canine Heart Disease Diagnosis with Expert-Consensus Auscultation Labeling Pinar Bisgin Tom Strube Niklas Tschorn Michael Pantförder Maximilian Fecke ... Jens Häggström Gerhard Wess Christoph Schummer Sven Meister Falk M. Howar NoLa 112 0 0 08 Jul 2025
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge Chunhui Gu Mohammad Sadegh Nasr James P. Long Kim-Anh Do Ehsan Irajizad NoLa 127 0 0 07 Jul 2025
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Ji Zhang Jingkuan Song Lianli Gao Andrii Zadaianchuk Heng Tao Shen NoLa 237 7 0 19 Jun 2025
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Suyeon Kim SeongKu Kang Dongwoo Kim Jungseul Ok Hwanjo Yu NoLa 238 0 0 14 Jun 2025
Meta-learning Representations for Learning from Multiple Annotators Atsutoshi Kumagai Tomoharu Iwata Taishi Nishiyama Yasutoshi Ida Yasuhiro Fujiwara NoLa 207 0 0 12 Jun 2025
Weak Supervision for Real World Graphs Pratheeksha Nair Reihaneh Rabbany NoLa 222 0 0 03 Jun 2025
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy LabelsPattern Recognition Letters (Pattern Recogn. Lett.), 2025 Nan Xiang Lifeng Xing Dequan Jin NoLa 157 2 0 03 Jun 2025
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences Soichiro Nishimori Yu Zhang Thanawat Lodkaew Masashi Sugiyama NoLa 184 1 0 30 May 2025
On the Role of Label Noise in the Feature Learning Process Andi Han Wei Huang Zhanpeng Zhou Gang Niu Wuyang Chen Junchi Yan Akiko Takeda Taiji Suzuki NoLa MLT 351 2 0 25 May 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu Li Lin Wenbin Zhang Xin Wang Zhenhuan Yang Shu Hu NoLa 298 5 0 24 May 2025
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels Yuval Grinberg Nimrod Harel Jacob Goldberger Ofir Lindenbaum NoLa 246 0 0 19 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang Chengliang Chai Jingzhe Xu Fangqiu Yi Ye Yuan Guoren Wang Lei Cao Lei Cao NoLa 595 1 0 01 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy DataAAAI Conference on Artificial Intelligence (AAAI), 2025 Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 1.0K 1 0 24 Apr 2025

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