Special Issue of the ACML 2022

Guest Editors: Yu-Feng Li, Prateek Jain

Journal

Machine Learning

Machine Learning is an international forum focusing on computational approaches to learning.

Yu-Feng Li

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Prateek Jain

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Showing 1-19 of 19 articles

ProtoSimi: label correction for fine-grained visual categorization
Jialiang Shen
Yu Yao
Tongliang Liu
OriginalPaper Open access 28 March 2023 Pages: 1903 - 1920
Learning state importance for preference-based reinforcement learning
Guoxi Zhang
Hisashi Kashima
OriginalPaper 09 January 2023 Pages: 1885 - 1901
Aligning model outputs for class imbalanced non-IID federated learning
Lan Li
De-chuan Zhan
Xin-chun Li
OriginalPaper 07 December 2022 Pages: 1861 - 1884
Towards enabling learnware to handle heterogeneous feature spaces
Peng Tan
Zhi-Hao Tan
Zhi-Hua Zhou
OriginalPaper 28 November 2022 Pages: 1839 - 1860
Local AdaGrad-type algorithm for stochastic convex-concave optimization
Luofeng Liao
Li Shen
Dacheng Tao
OriginalPaper 23 November 2022 Pages: 1819 - 1838
InfoCEVAE: treatment effect estimation with hidden confounding variables matching
Shonosuke Harada
Hisashi Kashima
OriginalPaper Open access 02 November 2022 Pages: 1799 - 1817
3DVerifier: efficient robustness verification for 3D point cloud models
Ronghui Mu
Wenjie Ruan
Qiang Ni
OriginalPaper Open access 02 November 2022 Pages: 1771 - 1798
IA-NGM: A bidirectional learning method for neural graph matching with feature fusion
Tianxiang Qin
Shikui Tu
Lei Xu
OriginalPaper 01 November 2022 Pages: 1743 - 1769
Transfer and share: semi-supervised learning from long-tailed data
Tong Wei
Qian-Yu Liu
Lan-Zhe Guo
OriginalPaper 31 October 2022 Pages: 1725 - 1742
DIMBA: discretely masked black-box attack in single object tracking
Xiangyu Yin
Wenjie Ruan
Jonathan Fieldsend
OriginalPaper Open access 31 October 2022 Pages: 1705 - 1723
Meta-learning the invariant representation for domain generalization
Chen Jia
Yue Zhang
OriginalPaper 28 October 2022 Pages: 1661 - 1681
Heterogeneous sets in dimensionality reduction and ensemble learning
Henry W. J. Reeve
Ata Kabán
Jakramate Bootkrajang
OriginalPaper Open access 28 October 2022 Pages: 1683 - 1704
Open-set learning under covariate shift
Jie-Jing Shao
Xiao-Wen Yang
Lan-Zhe Guo
OriginalPaper 27 October 2022 Pages: 1643 - 1659
Riemannian block SPD coupling manifold and its application to optimal transport
Andi Han
Bamdev Mishra
Junbin Gao
OriginalPaper Open access 20 October 2022 Pages: 1595 - 1622
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox
Yunyun Wang
Yao Liu
Songcan Chen
OriginalPaper 20 October 2022 Pages: 1623 - 1641
Parametric non-parallel support vector machines for pattern classification
Sambhav Jain
Reshma Rastogi
OriginalPaper 19 October 2022 Pages: 1567 - 1594
Partial label learning with emerging new labels
Xiang-Ru Yu
Deng-Bao Wang
Min-Ling Zhang
OriginalPaper 17 October 2022 Pages: 1549 - 1565
Hitting the target: stopping active learning at the cost-based optimum
Zac Pullar-Strecker
Katharina Dost
Jörg Wicker
OriginalPaper Open access 14 October 2022 Pages: 1529 - 1547
Black-box Bayesian adversarial attack with transferable priors
Shudong Zhang
Haichang Gao
Jianping He
OriginalPaper 14 October 2022 Pages: 1511 - 1528

Special Issue of the ACML 2022

Participating journal

Machine Learning

Editors

Yu-Feng Li

Prateek Jain

Articles

ProtoSimi: label correction for fine-grained visual categorization

Learning state importance for preference-based reinforcement learning

Aligning model outputs for class imbalanced non-IID federated learning

Towards enabling learnware to handle heterogeneous feature spaces

Local AdaGrad-type algorithm for stochastic convex-concave optimization

InfoCEVAE: treatment effect estimation with hidden confounding variables matching

3DVerifier: efficient robustness verification for 3D point cloud models

IA-NGM: A bidirectional learning method for neural graph matching with feature fusion

Transfer and share: semi-supervised learning from long-tailed data

DIMBA: discretely masked black-box attack in single object tracking

Meta-learning the invariant representation for domain generalization

Heterogeneous sets in dimensionality reduction and ensemble learning

Open-set learning under covariate shift

Riemannian block SPD coupling manifold and its application to optimal transport

Towards adaptive unknown authentication for universal domain adaptation by classifier paradox

Parametric non-parallel support vector machines for pattern classification

Partial label learning with emerging new labels

Hitting the target: stopping active learning at the cost-based optimum

Black-box Bayesian adversarial attack with transferable priors

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Special Issue of the ACML 2022

Participating journal

Editors

Yu-Feng Li

Prateek Jain

Articles

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