Symmetric Cross Entropy for Robust Learning with Noisy Labels

16 August 2019

Papers citing "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

50 / 127 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Y. Liu Jiangrong Shen Qiang Zhang 26 0 0 12 May 2025
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Yicheng Song Tiancheng Lin Die Peng Su Yang Yi Xu MedIm 31 0 0 10 May 2025
Robust Fairness Vision-Language Learning for Medical Image Analysis Sparsh Bansal Mingyang Wu Xin Wang S. Hu VLM 47 0 0 06 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang Chengliang Chai Jingzhe Xu Chi Zhang Ye Yuan Guoren Wang Lei Cao NoLa 54 0 0 01 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 133 0 0 24 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 30 6 0 03 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
Learning with Noisy Labels: the Exploration of Error Bounds in Classification Haixia Liu Boxiao Li Can Yang Yang Wang 33 0 0 28 Jan 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 61 0 0 12 Jan 2025
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding Aaron Lohner Francesco Compagno Jonathan M Francis A. Oltramari 55 2 0 10 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 43 0 0 03 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 169 0 0 18 Dec 2024
Combating Semantic Contamination in Learning with Label Noise Wenxiao Fan Kan Li NoLa 166 0 0 16 Dec 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting Yanyi Zhang Binglin Qiu Qi Jia Yu Liu Ran He CLL 40 0 0 04 Nov 2024
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning Yukai Xu Yujie Gu Kouichi Sakurai AAML 23 0 0 18 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 32 0 0 18 Sep 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 71 0 0 26 Aug 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 45 2 0 28 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 46 1 0 17 Jun 2024
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 42 3 0 07 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 24 0 0 30 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 May 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss Yanxi Chen Chunxiao Li Xinyang Dai Jinhuan Li Weiyu Sun Yiming Wang Renyuan Zhang Tinghe Zhang Bo Wang 32 0 0 06 May 2024
Beyond MOS: Subjective Image Quality Score Preprocessing Method Based on Perceptual Similarity Lei Wang Desen Yuan 41 2 0 30 Apr 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 48 1 0 28 Feb 2024
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding Wenlong Deng Blair Chen Beidi Zhao Chiyu Zhang Xiaoxiao Li Christos Thrampoulidis 33 0 0 22 Feb 2024
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation A. Dasgupta C. V. Jawahar Karteek Alahari TTA VLM 16 10 0 30 Nov 2023
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration Lei Wang Qingbo Wu Desen Yuan K. Ngan Hongliang Li Fanman Meng Linfeng Xu 18 5 0 27 Nov 2023
Write What You Want: Applying Text-to-video Retrieval to Audiovisual Archives Yuchen Yang VGen 19 7 0 09 Oct 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao Xinyu Wang Jingtao Li Yanfei Zhong 29 9 0 29 Aug 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 48 13 0 23 Aug 2023
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 65 11 0 28 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 33 15 0 21 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 14 0 0 14 Jul 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 15 1 0 10 Jul 2023
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels Yongquan Yang Hong Bu 21 0 0 06 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 29 21 0 24 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 23 12 0 22 May 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 29 3 0 16 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 27 10 0 09 Mar 2023
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation Shigemichi Matsuzaki Hiroaki Masuzawa Jun Miura 44 5 0 02 Mar 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 40 6 0 20 Jan 2023
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines Shizun Wang Weihong Zeng Xu Wang Han Yang Li Chen Yi Yuan Yunzhao Zeng Min Zheng Chuang Zhang Ming Wu 14 8 0 19 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 17 5 0 18 Jan 2023
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking Jinyang Wang Tao Wang Min Gan G. Hadjichristofi 14 2 0 14 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 47 8 0 02 Jan 2023
BD-KD: Balancing the Divergences for Online Knowledge Distillation Ibtihel Amara N. Sepahvand B. Meyer W. Gross J. Clark 24 2 0 25 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 22 5 0 19 Dec 2022