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Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From
  Single Positive to Full Labels

Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels

28 February 2023
Xiang Li
Xinrui Wang
Songcan Chen
ArXivPDFHTML

Papers citing "Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels"

13 / 13 papers shown
Title
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
43
30
0
30 Mar 2022
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label
  Text Classification
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang
Wei-Cheng Chang
Hsiang-Fu Yu
Inderjit S. Dhillon
51
101
0
01 Oct 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
63
113
0
17 Jun 2021
Delving Deep into Label Smoothing
Delving Deep into Label Smoothing
Chang-Bin Zhang
Peng-Tao Jiang
Qibin Hou
Yunchao Wei
Qi Han
Zhen Li
Ming-Ming Cheng
90
212
0
25 Nov 2020
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
69
255
0
23 Nov 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
76
528
0
29 Sep 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
53
228
0
19 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
86
561
0
30 Jun 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
55
439
0
24 Jun 2020
Does label smoothing mitigate label noise?
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
135
348
0
05 Mar 2020
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
66
998
0
07 Apr 2019
Multi-Label Image Classification via Knowledge Distillation from
  Weakly-Supervised Detection
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu
Lu Sheng
Jing Shao
Junjie Yan
Shiming Xiang
Chunhong Pan
WSOD
VLM
44
114
0
16 Sep 2018
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
1.2K
39,383
0
01 Sep 2014
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