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1803.11364
Cited By
Joint Optimization Framework for Learning with Noisy Labels
30 March 2018
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
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Papers citing
"Joint Optimization Framework for Learning with Noisy Labels"
50 / 392 papers shown
Tackling Noisy Labels with Network Parameter Additive Decomposition
Jingyi Wang
Xiaobo Xia
Long Lan
Xinghao Wu
Jun-chen Yu
Wenjing Yang
Bo Han
Tongliang Liu
NoLa
253
15
0
20 Mar 2024
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence
IEEE transactions on multimedia (IEEE TMM), 2024
Ruochen Zheng
Jiahao Hong
Changxin Gao
Nong Sang
170
3
0
13 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
Heesun Bae
Seungjae Shin
Byeonghu Na
Il-Chul Moon
NoLa
258
10
0
05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
335
0
0
04 Mar 2024
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
Chenying Liu
C. Albrecht
Yi Wang
Qingyu Li
Xiao Xiang Zhu
VLM
252
15
0
03 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
270
13
0
01 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
235
6
0
27 Feb 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
Huafeng Liu
Mengmeng Sheng
Zeren Sun
Yazhou Yao
Xian-Sheng Hua
Mengqi Li
NoLa
175
18
0
17 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities
Xiangyu Chang
Sk. Miraj Ahmed
S. Krishnamurthy
Başak Güler
A. Swami
Samet Oymak
Amit K. Roy-Chowdhury
FedML
357
4
0
13 Feb 2024
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Jianyuan Guo
Hanting Chen
Chengcheng Wang
Kai Han
Chang Xu
Yunhe Wang
VLM
174
26
0
06 Feb 2024
Video Editing for Video Retrieval
Bin Zhu
Kevin Flanagan
A. Fragomeni
Michael Wray
Dima Damen
CLIP
206
1
0
04 Feb 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Asian Conference on Computer Vision (ACCV), 2024
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
429
0
0
26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
251
3
0
25 Jan 2024
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
Qinglai Wei
Lei Feng
Haobo Wang
Bo An
NoLa
320
1
0
24 Jan 2024
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
Vandad Imani
Elaheh Moradi
C. Sevilla-Salcedo
Vittorio Fortino
Jussi Tohka
NoLa
166
0
0
12 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
SDM (SDM), 2024
Dongyu Zhang
Ruofan Hu
Elke A. Rundensteiner
252
0
0
10 Jan 2024
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
Kwang-seok Ryoo
Yeonsik Jo
Seungjun Lee
Mira Kim
Ahra Jo
S. Kim
Seungryong Kim
Soonyoung Lee
NoLa
204
1
0
21 Dec 2023
Single-channel speech enhancement using learnable loss mixup
Oscar Chang
Dung N. Tran
K. Koishida
187
7
0
20 Dec 2023
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
228
25
0
19 Dec 2023
Regroup Median Loss for Combating Label Noise
Fengpeng Li
Kemou Li
Jinyu Tian
Jiantao Zhou
NoLa
177
13
0
11 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection
Siqi Wang
Chau Pham
Bryan A. Plummer
NoLa
228
0
0
30 Nov 2023
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration
IEEE transactions on multimedia (IEEE TMM), 2023
Lei Wang
Qingbo Wu
Desen Yuan
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
163
6
0
27 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Song Wang
Zhen Tan
Ruocheng Guo
Wenlin Yao
NoLa
186
29
0
02 Nov 2023
Noise Correction on Subjective Datasets
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Uthman Jinadu
Yi Ding
129
1
0
01 Nov 2023
Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki
Mihai Nica
Graham W. Taylor
268
1
0
31 Oct 2023
Cross-modal Active Complementary Learning with Self-refining Correspondence
Neural Information Processing Systems (NeurIPS), 2023
Yang Qin
Yuan Sun
Dezhong Peng
Qiufeng Wang
Xiaocui Peng
Peng Hu
287
34
0
26 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
Yulei Qin
Xingyu Chen
Chunjiang Ge
Chaoyou Fu
Yun Gu
Ke Li
Xing Sun
Rongrong Ji
245
3
0
15 Oct 2023
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
International Conference on Machine Learning (ICML), 2023
Ke Wang
Guillermo Ortiz-Jimenez
Rodolphe Jenatton
Mark Collier
Efi Kokiopoulou
Pascal Frossard
AAML
299
5
0
10 Oct 2023
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
Samiul Alam
Tuo Zhang
Tiantian Feng
Hui Shen
Zhichao Cao
...
JeongGil Ko
Kiran Somasundaram
Shrikanth S. Narayanan
Salman Avestimehr
Mi Zhang
384
13
0
29 Sep 2023
Unified Risk Analysis for Weakly Supervised Learning
Chao-Kai Chiang
Masashi Sugiyama
269
6
0
15 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
197
15
0
02 Sep 2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Mengwei He
Dongang Wang
Michael Barnett
Mariano Cabezas
Weidong (Tom) Cai
...
Ryan Sullivan
Hengrui Wang
Geng Zhan
Wanli Ouyang
Chenyu Wang
147
15
0
31 Aug 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
IEEE International Conference on Computer Vision (ICCV), 2023
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
262
16
0
26 Aug 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
IEEE International Conference on Computer Vision (ICCV), 2023
Han Yang
Tianyu Wang
Xiao Hu
Chi-Wing Fu
NoLa
256
17
0
23 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
Intelligent Data Analysis (IDA), 2023
Mingcai Chen
Yuntao Du
Wei Tang
Baoming Zhang
Hao Cheng
Shuwei Qian
Chongjun Wang
NoLa
186
2
0
31 Jul 2023
Label Noise: Correcting a Correction
William Toner
Amos Storkey
NoLa
184
1
0
24 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
International Conference on Learning Representations (ICLR), 2023
Jiacheng Yao
Yikai Zhang
Songzhu Zheng
Mayank Goswami
Prateek Prasanna
Chao Chen
237
20
0
21 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Neural Information Processing Systems (NeurIPS), 2023
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
260
25
0
19 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
International Journal of Computer Vision (IJCV), 2023
Xia Huang
Kai Fong Ernest Chong
215
4
0
19 Jul 2023
Robust Feature Learning Against Noisy Labels
International Conference on Information Photonics (ICIP), 2023
Tsung-Ming Tai
Yun-Jie Jhang
Wen-Jyi Hwang
NoLa
160
1
0
10 Jul 2023
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
Zahid Hasan
A. Faridee
Masud Ahmed
S. Purushotham
H. Kwon
Hyungtae Lee
Nirmalya Roy
276
2
0
07 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
European Conference on Computer Vision (ECCV), 2023
Siqi Wang
Bryan A. Plummer
289
2
0
20 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
523
11
0
20 Jun 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Neural Information Processing Systems (NeurIPS), 2023
Jian Chen
Ruiyi Zhang
Tong Yu
Rohan Sharma
Zhiqiang Xu
Tong Sun
Changyou Chen
DiffM
256
30
0
31 May 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
European Conference on Computer Vision (ECCV), 2023
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
305
3
0
31 May 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Knowledge Discovery and Data Mining (KDD), 2023
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLa
SyDa
AI4CE
283
19
0
30 May 2023
Mitigating Label Noise through Data Ambiguation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Julian Lienen
Eyke Hüllermeier
NoLa
237
11
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23 May 2023
Enhanced Meta Label Correction for Coping with Label Corruption
IEEE International Conference on Computer Vision (ICCV), 2023
Mitchell Keren Taraday
Chaim Baskin
313
7
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Neural Information Processing Systems (NeurIPS), 2023
Hao Chen
Ankit Shah
Yongfeng Zhang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
282
16
0
22 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning
Hanwen Deng
Weijia Zhang
Min-Ling Zhang
NoLa
245
0
0
10 May 2023
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