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. 2203.16219
  4. Cited By
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels

30 March 2022
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
ArXivPDFHTML

Papers citing "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels"

11 / 11 papers shown
Title
Semantic-guided Representation Learning for Multi-Label Recognition
Semantic-guided Representation Learning for Multi-Label Recognition
Ruhui Zhang
Hezhe Qiao
Pengcheng Xu
Mingsheng Shang
Lin Chen
31
0
0
04 Apr 2025
Boosting Single Positive Multi-label Classification with Generalized
  Robust Loss
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
Understanding Label Bias in Single Positive Multi-Label Learning
Understanding Label Bias in Single Positive Multi-Label Learning
Julio Arroyo
Pietro Perona
Elijah Cole
27
2
0
24 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
40
16
0
04 May 2023
Bridging the Gap between Model Explanations in Partially Annotated
  Multi-label Classification
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
27
7
0
04 Apr 2023
An Action Is Worth Multiple Words: Handling Ambiguity in Action
  Recognition
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition
Kiyoon Kim
Davide Moltisanti
Oisin Mac Aodha
Laura Sevilla-Lara
16
0
0
10 Oct 2022
Design of Negative Sampling Strategies for Distantly Supervised Skill
  Extraction
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
Jens-Joris Decorte
Jeroen Van Hautte
Johannes Deleu
Chris Develder
Thomas Demeester
20
13
0
13 Sep 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
241
509
0
15 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1