CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

3 August 2018

Papers citing "CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images"

50 / 168 papers shown

Title
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Wang Wenwu Zhu 30 16 0 06 Feb 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 34 0 0 29 Jan 2023
RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning K. Liao Lang Nie Chunyu Lin Zishuo Zheng Yao Zhao 36 11 0 04 Jan 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 40 11 0 24 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 31 1 0 22 Dec 2022
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 30 2 0 18 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 44 4 0 01 Dec 2022
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 18 5 0 28 Nov 2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang Jiyuan Chen Tongbo Pan Z. Fan Boyuan Zhang Renhe Jiang Lingyu Zhang Yi Xie Zhongyin Wang Xuan Song GNN 29 8 0 28 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 37 28 0 17 Nov 2022
On the Ramifications of Human Label Uncertainty Chenchao Zhou Mohit Prabhushankar Ghassan AlRegib 19 4 0 10 Nov 2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems Yufeng Wang Cong Xu Min Yang Jin Zhang 11 4 0 23 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 36 8 0 21 Oct 2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition Junhao Zheng Zhanxian Liang Haibin Chen Qianli Ma CML 74 13 0 08 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family Ashwin Hebbar Viraj Nadkarni Ashok Vardhan Makkuva S. Bhat Sewoong Oh Pramod Viswanath 30 6 0 01 Oct 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification R. Abdelfattah Xin Zhang Zhenyao Wu Xinyi Wu Xiang Wang Song Wang VLM 42 6 0 22 Aug 2022
Self-Contained Entity Discovery from Captioned Videos M. Ayoughi P. Mettes Paul T. Groth 28 2 0 13 Aug 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding Weiming Ren Ruijing Zeng Tong Wu Tianshu Zhu Rahul G. Krishnan 84 6 0 03 Aug 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 15 17 0 28 Jul 2022
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation Lin Li Jun Xiao Hanrong Shi Hanwang Zhang Yi Yang Wei Liu Long Chen 26 22 0 27 Jul 2022
Adaptive Graph-Based Feature Normalization for Facial Expression Recognition Yangtao Du Qingqing Wang Yu Xiong CVBM 14 1 0 22 Jul 2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS Zixuan Zhou Xuefei Ning Y. Cai Jiashu Han Yiping Deng Yuhan Dong Huazhong Yang Yu Wang 3DPC 31 12 0 16 Jul 2022
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks Jae Woong Soh N. Cho 4 0 0 03 Jul 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 25 27 0 15 Jun 2022
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation Lin Li Long Chen Yifeng Huang Zhimeng Zhang Songyang Zhang Jun Xiao NoLa 34 72 0 07 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 39 65 0 06 Jun 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Zeyang Zhang Ziwei Zhang Xin Wang Wenwu Zhu 26 42 0 07 Apr 2022
Flexible Sampling for Long-tailed Skin Lesion Classification Lie Ju Yicheng Wu Lin Wang Zhenjun Yu Xin Zhao Xin Wang Paul Bonnington Z. Ge 19 9 0 07 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 17 29 0 06 Apr 2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video Wei Lin Anna Kukleva Kunyang Sun Horst Possegger Hilde Kuehne Horst Bischof VGen 47 7 0 30 Mar 2022
Reinforcement-based frugal learning for satellite image change detection Sebastien Deschamps H. Sahbi 30 1 0 22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection H. Sahbi Sebastien Deschamps 33 0 0 22 Mar 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 24 33 0 11 Feb 2022
Webly Supervised Concept Expansion for General Purpose Vision Models Amita Kamath Christopher Clark Tanmay Gupta Eric Kolve Derek Hoiem Aniruddha Kembhavi VLM 32 54 0 04 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 41 75 0 04 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 53 3 0 30 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner Shihan Dou Yueming Wu Wenxuan Li Feng Cheng Wei Yang Yang Liu 11 0 0 12 Dec 2021
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering Yuanbo Xiangli Linning Xu Xingang Pan Nanxuan Zhao Anyi Rao Christian Theobalt Bo Dai Dahua Lin AI4CE 29 228 0 10 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 38 80 0 04 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Rameswar Panda VLM 26 30 0 23 Nov 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Towards a Robust Differentiable Architecture Search under Label Noise Christian Simon Piotr Koniusz L. Petersson Yan Han Mehrtash Harandi NoLa AAML OOD 17 4 0 23 Oct 2021
Active learning for interactive satellite image change detection H. Sahbi Sebastien Deschamps Andrei Stoian 42 6 0 08 Oct 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation Jinliang Lu Jiajun Zhang 29 7 0 23 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 27 32 0 11 Sep 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 80 0 25 Aug 2021
Density-Based Dynamic Curriculum Learning for Intent Detection Y. Gong Cao Liu Jianying Yuan Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Ruiyao Niu Houfeng Wang 11 13 0 24 Aug 2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning Xinzhi Dong Chengjiang Long Wenju Xu Chunxia Xiao ViT 79 66 0 05 Aug 2021
Compensation Learning Rujing Yao Ou Wu 16 2 0 26 Jul 2021