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Pairwise Supervision Can Provably Elicit a Decision Boundary
v1v2 (latest)

Pairwise Supervision Can Provably Elicit a Decision Boundary

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
11 June 2020
Han Bao
Takuya Shimada
Liyuan Xu
Issei Sato
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Pairwise Supervision Can Provably Elicit a Decision Boundary"

7 / 7 papers shown
Proper losses regret at least 1/2-order
Proper losses regret at least 1/2-order
Han Bao
Asuka Takatsu
218
3
0
15 Jul 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Yongfeng Zhang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
388
13
0
02 Feb 2024
Binary Classification with Confidence Difference
Binary Classification with Confidence DifferenceNeural Information Processing Systems (NeurIPS), 2023
Wei Wang
Lei Feng
Yuchen Jiang
Gang Niu
Min Zhang
Masashi Sugiyama
253
16
0
09 Oct 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Feature Normalization Prevents Collapse of Non-contrastive Learning DynamicsNeural Computation (Neural Comput.), 2023
Han Bao
SSLMLT
364
1
0
28 Sep 2023
A Universal Unbiased Method for Classification from Aggregate
  Observations
A Universal Unbiased Method for Classification from Aggregate ObservationsInternational Conference on Machine Learning (ICML), 2023
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
Mengqi Li
331
7
0
20 Jun 2023
Correlation Clustering of Bird Sounds
Correlation Clustering of Bird Sounds
David Stein
Bjoern Andres
203
1
0
16 Jun 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based
  Cross-Subject Emotion Recognition
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
174
33
0
27 Mar 2023
1
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