Semi-supervised learning made simple with self-supervised clustering

13 June 2023

Enrico Fini

Pietro Astolfi

Alahari Karteek

Xavier Alameda-Pineda

Papers citing "Semi-supervised learning made simple with self-supervised clustering"

20 / 20 papers shown

Title
A Unified Contrastive Loss for Self-Training Aurélien Gauffre Julien Horvat Massih-Reza Amini SSL 18 0 0 11 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 39 3 0 30 Aug 2024
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data Junha Song Tae Soo Kim Junha Kim Gunhee Nam Thijs Kooi Jaegul Choo 45 1 0 22 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning Marawan Elbatel Hualiang Wang Jixiang Chen Hao Wang Xiaomeng Li FedML 48 0 0 14 Jul 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 18 0 0 31 May 2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning Michael Majurski Sumeet Menon Parniyan Farvardin David Chapman 19 3 0 27 Apr 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 22 2 0 26 Apr 2024
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations Kouzhiqiang Yucheng Xie Jing Wang Yuheng Jia Boyu Shi Xin Geng 16 0 0 11 Dec 2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques R. Thoreau Laurent Risser V. Achard Béatrice Berthelot X. Briottet 17 3 0 15 Nov 2023
Improved baselines for vision-language pre-training Enrico Fini Pietro Astolfi Adriana Romero Soriano Jakob Verbeek M. Drozdzal SSL CLIP VLM 40 22 0 15 May 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 26 5 0 10 Mar 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 57 41 0 03 Jul 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 39 17 0 21 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 207 848 0 15 Oct 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 189 243 0 14 Jun 2018