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PiCO+: Contrastive Label Disambiguation for Robust Partial Label
  Learning

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning

22 January 2022
Haobo Wang
Rui Xiao
Yixuan Li
Lei Feng
Gang Niu
Gang Chen
J. Zhao
    VLM
ArXivPDFHTML

Papers citing "PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning"

12 / 12 papers shown
Title
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
43
0
0
03 Jan 2025
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
59
15
0
15 Oct 2024
Pre-Trained Vision-Language Models as Partial Annotators
Pre-Trained Vision-Language Models as Partial Annotators
Qian-Wei Wang
Yuqiu Xie
Letian Zhang
Zimo Liu
Shu-Tao Xia
VLM
35
2
0
23 May 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Darshana Saravanan
Naresh Manwani
Vineet Gandhi
28
0
0
07 Feb 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
35
44
0
23 Jan 2024
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
21
18
0
05 Jul 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
29
12
0
22 May 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Mingyu Xu
Zheng Lian
23
1
0
06 Mar 2023
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label
  Learning
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
Ming Xu
Zheng Lian
Lei Feng
B. Liu
Jianhua Tao
8
6
0
28 Jan 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
877
0
21 Oct 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise
  Interactions
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Tingyang Xu
Wenbing Huang
Yixuan Li
Junzhou Huang
NoLa
30
11
0
14 Jun 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
313
498
0
05 Mar 2020
1