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Webly Supervised Learning of Convolutional Networks
v1v2 (latest)

Webly Supervised Learning of Convolutional Networks

7 May 2015
Xinlei Chen
Abhinav Gupta
    SSL
ArXiv (abs)PDFHTML

Papers citing "Webly Supervised Learning of Convolutional Networks"

50 / 195 papers shown
Weak-to-Strong Generalization under Distribution Shifts
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon
Jan Sobotka
Suhwan Choi
Maria Brbić
OOD
262
3
0
24 Oct 2025
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso
Josiane Mothe
Radu Tudor Ionescu
135
0
0
16 Sep 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
333
0
0
24 May 2025
Active Learning with a Noisy Annotator
Active Learning with a Noisy Annotator
Netta Shafir
Guy Hacohen
D. Weinshall
223
3
0
06 Apr 2025
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO
Guang Dai
Chen Liu
C. Xu
Kai Hu
Donghao Luo
Chengjie Wang
Yanwei Fu
Xingtai Lv
311
1
0
21 Mar 2025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Xuetao Ma
Wenbin Jiang
Hua Huang
LRM
675
16
0
21 Feb 2025
Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence
  for the Flying Bird Object Detection Model Training
Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model TrainingSignal, Image and Video Processing (SIVP), 2024
Zi-Wei Sun
Ze-Xi Hua
Heng-Chao Li
Yan Li
313
1
0
09 Dec 2024
TPCL: Task Progressive Curriculum Learning for Robust Visual Question Answering
TPCL: Task Progressive Curriculum Learning for Robust Visual Question Answering
Ahmed Akl
Abdelwahed Khamis
Zhe Wang
Ali Cheraghian
Sara Khalifa
Kewen Wang
OODVLM
305
1
0
26 Nov 2024
Theoretical Proportion Label Perturbation for Learning from Label
  Proportions in Large Bags
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large BagsEuropean Conference on Artificial Intelligence (ECAI), 2024
Shunsuke Kubo
Shinnosuke Matsuo
D. Suehiro
Kazuhiro Terada
Hiroaki Ito
Akihiko Yoshizawa
Ryoma Bise
438
2
0
26 Aug 2024
DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment
  and Correction
DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
Chaofan Gan
Yuanpeng Tu
Yuxi Li
Weiyao Lin
254
2
0
25 Jul 2024
Learning from the Web: Language Drives Weakly-Supervised Incremental
  Learning for Semantic Segmentation
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
Chang Liu
Giulia Rizzoli
Pietro Zanuttigh
Fu Li
Yi Niu
CLL
371
6
0
18 Jul 2024
CBM: Curriculum by Masking
CBM: Curriculum by Masking
Andrei Jarca
Florinel-Alin Croitoru
Radu Tudor Ionescu
317
5
0
06 Jul 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label
  Detection
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
Suyeon Kim
Dongha Lee
SeongKu Kang
Sukang Chae
Sanghwan Jang
Hwanjo Yu
431
11
0
30 May 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression
  Tasks
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
Seonghyeon Hwang
Minsu Kim
Steven Euijong Whang
NoLa
372
7
0
28 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual
  Backbone Training
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Yulin Wang
Yang Yue
Rui Lu
Yizeng Han
Shiji Song
Gao Huang
VLM
376
26
0
14 May 2024
Noisy Label Processing for Classification: A Survey
Noisy Label Processing for Classification: A Survey
Mengting Li
Chuang Zhu
NoLa
415
13
0
05 Apr 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive
  Representation Learning
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
292
11
0
27 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
510
2
0
06 Feb 2024
Intent-based Prompt Calibration: Enhancing prompt optimization with
  synthetic boundary cases
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
Elad Levi
Eli Brosh
Matan Friedmann
224
19
0
05 Feb 2024
Curriculum for Crowd Counting -- Is it Worthy?
Curriculum for Crowd Counting -- Is it Worthy?
Muhammad Asif Khan
Hamid Menouar
R. Hamila
218
1
0
15 Jan 2024
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines
Hamed Damirchi
Cristian Rodriguez-Opazo
Ehsan Abbasnejad
Damien Teney
Javen Qinfeng Shi
Stephen Gould
Anton Van Den Hengel
VLM
261
0
0
29 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring
  the Web
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web
Christian Schroeder de Witt
Hasan Hammoud
Ser-Nam Lim
Guohao Li
Juil Sock
Adel Bibi
CLL
429
4
0
19 Nov 2023
CLearViD: Curriculum Learning for Video Description
CLearViD: Curriculum Learning for Video Description
Cheng-Yu Chuang
Pooyan Fazli
240
1
0
08 Nov 2023
Digital Twin-based Anomaly Detection with Curriculum Learning in
  Cyber-physical Systems
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical SystemsACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Geri Skenderi
Hang Li
T. Yue
256
42
0
27 Sep 2023
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic
  Segmentation
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
Chang Liu
Giulia Rizzoli
F. Barbato
Andrea Maracani
Marco Toldo
Umberto Michieli
Yi Niu
Pietro Zanuttigh
CLL
378
2
0
19 Sep 2023
Low-Quality Training Data Only? A Robust Framework for Detecting
  Encrypted Malicious Network Traffic
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network TrafficNetwork and Distributed System Security Symposium (NDSS), 2023
Yuqi Qing
Qilei Yin
Xinhao Deng
Yihao Chen
Zhuotao Liu
Kun Sun
Ke Xu
Jia Zhang
Qi Li
AAML
287
56
0
09 Sep 2023
Domain Generalization via Balancing Training Difficulty and Model
  Capability
Domain Generalization via Balancing Training Difficulty and Model CapabilityIEEE International Conference on Computer Vision (ICCV), 2023
Xue-Qiu Jiang
Jiaxing Huang
Sheng Jin
Shijian Lu
315
27
0
02 Sep 2023
Contrastive Feature Masking Open-Vocabulary Vision Transformer
Contrastive Feature Masking Open-Vocabulary Vision TransformerIEEE International Conference on Computer Vision (ICCV), 2023
Dahun Kim
A. Angelova
Weicheng Kuo
ObjDVLM
464
39
0
02 Sep 2023
CL-MAE: Curriculum-Learned Masked Autoencoders
CL-MAE: Curriculum-Learned Masked AutoencodersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Neelu Madan
Nicolae-Cătălin Ristea
Kamal Nasrollahi
T. Moeslund
Radu Tudor Ionescu
534
27
0
31 Aug 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows
  from Noisy Labels
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2023
Han Yang
Tianyu Wang
Xiao Hu
Chi-Wing Fu
NoLa
346
19
0
23 Aug 2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Reverse Stable Diffusion: What prompt was used to generate this image?Computer Vision and Image Understanding (CVIU), 2023
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
VLMDiffM
326
13
0
02 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
SYNAuG: Exploiting Synthetic Data for Data Imbalance ProblemsPattern Recognition Letters (PR), 2023
Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
DiffM
475
11
0
02 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
LaplaceConfidence: a Graph-based Approach for Learning with Noisy LabelsIntelligent Data Analysis (IDA), 2023
Mingcai Chen
Yuntao Du
Wei Tang
Baoming Zhang
Hao Cheng
Shuwei Qian
Chongjun Wang
NoLa
267
2
0
31 Jul 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from
  the Noise-type Perspective
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective
Renyu Zhu
Haoyu Liu
Runze Wu
Min-Hsien Lin
Tangjie Lv
Changjie Fan
Haobo Wang
NoLa
312
2
0
28 Jul 2023
Integrating Curricula with Replays: Its Effects on Continual Learning
Integrating Curricula with Replays: Its Effects on Continual Learning
Ren Jie Tee
Mengmi Zhang
KELMCLL
274
7
0
08 Jul 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed
  Inputs
Provable Advantage of Curriculum Learning on Parity Targets with Mixed InputsNeural Information Processing Systems (NeurIPS), 2023
Emmanuel Abbe
Elisabetta Cornacchia
Aryo Lotfi
297
20
0
29 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
486
8
0
15 Jun 2023
A Gradient-based Approach for Online Robust Deep Neural Network Training
  with Noisy Labels
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Yifan Yang
Alec Koppel
Zheng Zhang
NoLa
266
3
0
08 Jun 2023
Region-Aware Pretraining for Open-Vocabulary Object Detection with
  Vision Transformers
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Dahun Kim
A. Angelova
Weicheng Kuo
ObjDViTVLM
474
123
0
11 May 2023
RECLIP: Resource-efficient CLIP by Training with Small Images
RECLIP: Resource-efficient CLIP by Training with Small Images
Runze Li
Dahun Kim
B. Bhanu
Weicheng Kuo
VLMCLIP
403
17
0
12 Apr 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across GeographiesComputer Vision and Pattern Recognition (CVPR), 2023
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
305
19
0
27 Mar 2023
Information Maximizing Curriculum: A Curriculum-Based Approach for
  Imitating Diverse Skills
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills
Denis Blessing
Onur Celik
Xiaogang Jia
Moritz Reuss
M. Li
Rudolf Lioutikov
Gerhard Neumann
200
0
0
27 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2023
Sungnyun Kim
Sangmin Bae
Se-Young Yun
433
17
0
20 Mar 2023
Internet Explorer: Targeted Representation Learning on the Open Web
Internet Explorer: Targeted Representation Learning on the Open WebInternational Conference on Machine Learning (ICML), 2023
Alexander C. Li
Ellis L Brown
Alexei A. Efros
Deepak Pathak
VLM
253
31
0
27 Feb 2023
Learning from Noisy Crowd Labels with Logics
Learning from Noisy Crowd Labels with LogicsIEEE International Conference on Data Engineering (ICDE), 2023
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLaNAI
313
9
0
13 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yikai Wang
Yanwei Fu
Xinwei Sun
NoLa
451
11
0
02 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise
Learning Confident Classifiers in the Presence of Label NoiseSDM (SDM), 2023
Asma Ahmed Hashmi
Aigerim Zhumabayeva
Nikita Kotelevskii
A. Agafonov
Mohammad Yaqub
Maxim Panov
Martin Takávc
NoLa
594
2
0
02 Jan 2023
Noise-aware Learning from Web-crawled Image-Text Data for Image
  Captioning
Noise-aware Learning from Web-crawled Image-Text Data for Image CaptioningIEEE International Conference on Computer Vision (ICCV), 2022
Woohyun Kang
Jonghwan Mun
Sungjun Lee
Byungseok Roh
VLM
317
33
0
27 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond
  Manually Designed Features
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed FeaturesAAAI Conference on Artificial Intelligence (AAAI), 2022
Qingrui Jia
Xuhong Li
Lei Yu
Jiang Bian
Penghao Zhao
Shupeng Li
Haoyi Xiong
Dejing Dou
NoLa
250
12
0
19 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Yulei Qin
Xingyu Chen
Chao Chen
Chunjiang Ge
Bohan Ren
Yun Gu
Jie Yang
Chunhua Shen
316
5
0
01 Dec 2022
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