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InstanT: Semi-supervised Learning with Instance-dependent Thresholds

InstanT: Semi-supervised Learning with Instance-dependent Thresholds

29 October 2023
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
ArXivPDFHTML

Papers citing "InstanT: Semi-supervised Learning with Instance-dependent Thresholds"

14 / 14 papers shown
Title
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
24
0
0
29 Oct 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
51
7
0
14 Oct 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
18
0
0
18 Sep 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
35
0
0
07 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
36
0
0
20 Jun 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification
  in the Era of Large Language Models
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
Zhenyi Lu
Jie Tian
Wei Wei
Xiaoye Qu
Yu Cheng
Wenfeng Xie
Dangyang Chen
25
5
0
11 Jun 2024
Mitigating Label Noise on Graph via Topological Sample Selection
Mitigating Label Noise on Graph via Topological Sample Selection
Yuhao Wu
Jiangchao Yao
Xiaobo Xia
Jun-chen Yu
Ruxing Wang
Bo Han
Tongliang Liu
NoLa
42
2
0
04 Mar 2024
On the Over-Memorization During Natural, Robust and Catastrophic
  Overfitting
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin
Chaojian Yu
Bo Han
Tongliang Liu
17
7
0
13 Oct 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao W. Wang
Yifan Zhang
43
6
0
26 Apr 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
177
256
0
15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
215
861
0
15 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
175
32
0
06 Oct 2021
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
112
120
0
04 Feb 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat
  Instance-Dependent Label Noise
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
29
121
0
10 Dec 2020
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