ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.01619
  4. Cited By
Learning From Noisy Large-Scale Datasets With Minimal Supervision

Learning From Noisy Large-Scale Datasets With Minimal Supervision

6 January 2017
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
ArXivPDFHTML

Papers citing "Learning From Noisy Large-Scale Datasets With Minimal Supervision"

21 / 21 papers shown
Title
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
346
0
0
21 Mar 2025
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break
Haowen Bai
Zixiang Zhao
Jiangshe Zhang
Yukun Cui
Chunxia Zhang
Zhenbo Guo
Yongjun Wang
124
1
0
03 Feb 2025
Learning Confident Classifiers in the Presence of Label Noise
Learning Confident Classifiers in the Presence of Label Noise
Asma Ahmed Hashmi
Aigerim Zhumabayeva
Nikita Kotelevskii
A. Agafonov
Mohammad Yaqub
Maxim Panov
Martin Takávc
NoLa
125
2
0
02 Jan 2023
Meta Label Correction for Noisy Label Learning
Meta Label Correction for Noisy Label Learning
Guoqing Zheng
Ahmed Hassan Awadallah
S. Dumais
NoLa
OffRL
101
183
0
10 Nov 2019
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
83
186
0
05 Apr 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
127
3,529
0
28 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,152
0
14 Mar 2016
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy
  Human-Centric Labels
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
Ishan Misra
C. L. Zitnick
Margaret Mitchell
Ross B. Girshick
NoLa
54
219
0
22 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
878
27,358
0
02 Dec 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
105
406
0
06 Nov 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,781
0
19 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
81
373
0
07 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,643
0
09 Mar 2015
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
237
6,028
0
17 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,942
0
23 Mar 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
162
2,117
0
21 Dec 2013
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
116
2,270
0
29 Dec 2011
Noise Tolerance under Risk Minimization
Noise Tolerance under Risk Minimization
Naresh Manwani
S. M. I. P. S. Sastry
NoLa
174
276
0
24 Sep 2011
Identifying Mislabeled Training Data
Identifying Mislabeled Training Data
C. Brodley
M. Friedl
107
969
0
01 Jun 2011
1