P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced
Clustering

P $^2$ OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering

17 January 2024

Papers citing "P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering"

18 / 18 papers shown

Title
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 52 12 0 11 Dec 2023
Novel Class Discovery for Long-tailed Recognition Zhang Chuyu Rui Xu Xuming He 72 16 0 06 Aug 2023
DivClust: Controlling Diversity in Deep Clustering Ioannis Maniadis Metaxas Georgios Tzimiropoulos Ioannis Patras 41 17 0 03 Apr 2023
Unified Optimal Transport Framework for Universal Domain Adaptation Wanxing Chang Ye Shi H. Tuan Jingya Wang OT 47 66 0 31 Oct 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions Sheng Zhou Hongjia Xu Zhuonan Zheng Jiawei Chen Zhao Li Jiajun Bu Jia Wu Xin Eric Wang Wenwu Zhu Martin Ester 40 95 0 15 Jun 2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters M. Ronen Shahaf E. Finder Oren Freifeld 44 71 0 27 Mar 2022
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 59 259 0 18 Feb 2021
Contrastive Clustering Yunfan Li Peng Hu Zitao Liu Dezhong Peng Qiufeng Wang Xi Peng 36 616 0 21 Sep 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 252 1,715 0 29 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 77 533 0 25 May 2020
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 75 769 0 13 Nov 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 82 826 0 08 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 76 1,583 0 18 Jun 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 55 844 0 17 Jul 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 125 2,133 0 01 Mar 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 126 9,509 0 31 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 159 2,543 0 07 Oct 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 121 4,210 0 04 Jun 2013