Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning

22 July 2020

Papers citing "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"

50 / 77 papers shown

Title
Unsupervised Learning for Class Distribution Mismatch Pan Du Wangbo Zhao Xinai Lu Nian Liu Zechao Li ... Suyun Zhao H. Chen Cuiping Li Kai Wang Yang You 31 0 0 11 May 2025
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning You Rim Choi Subeom Park Seojun Heo Eunchung Noh Hyung-Sin Kim OODD 49 0 0 17 Apr 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He Yicong Dong Lanzhe Guo Yilong Yin Tailin Wu 32 0 0 02 Mar 2025
A Unified Framework for Heterogeneous Semi-supervised Learning Marzi Heidari Abdullah Alchihabi Hao Yan Yuhong Guo 37 0 0 01 Mar 2025
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm Thai-Hoang Pham Yuanlong Wang Changchang Yin Xueru Zhang Ping Zhang 73 0 0 17 Dec 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu Lifan Lin Jian Huang Chao Wang 29 1 0 04 Nov 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning Zerun Wang Liuyu Xiang Lang Huang Jiafeng Mao Ling Xiao Toshihiko Yamasaki 40 1 0 26 Sep 2024
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples Mingu Kwak Hyungu Kahng Seoung Bum Kim 32 0 0 03 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 43 10 0 31 Jul 2024
Contextuality Helps Representation Learning for Generalized Category Discovery Tingzhang Luo Mingxuan Du Jiatao Shi Xinxiang Chen Bingchen Zhao Shaoguang Huang 55 4 0 29 Jul 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery Fernando Julio Cendra Bingchen Zhao Kai Han VLM CLL 45 6 0 26 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 42 1 0 16 Jul 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch Qikai Wang Rundong He Yongshun Gong Chunxiao Ren Hao Sun Xiaoshui Huang Yilong Yin 34 0 0 25 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data Yang Yang Nan Jiang Yi Tian Xu De-Chuan Zhan 36 17 0 11 May 2024
Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation Qiyuan Dai Sibei Yang 34 8 0 18 Apr 2024
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Yue Fan Anna Kukleva Dengxin Dai Bernt Schiele 32 8 0 17 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun Zhenmei Shi Yixuan Li OffRL 43 20 0 06 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy Dongmin Park Seola Choi Doyoung Kim Hwanjun Song Jae-Gil Lee NoLa 68 20 0 02 Nov 2023
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images Nanqing Liu Xun Xu Yingjie Gao Heng-Chao Li 56 12 0 09 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 47 9 0 02 Oct 2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario Noam Fluss Guy Hacohen D. Weinshall 28 1 0 27 Aug 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Zekun Li Lei Qi Yinghuan Shi Yang Gao 32 29 0 25 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 19 38 0 13 Aug 2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data Kai Katsumata D. Vo Tatsuya Harada Hideki Nakayama 42 0 0 17 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 37 0 0 07 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 32 1 0 30 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data Shuvendu Roy Ali Etemad SSL 34 4 0 02 Jun 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang Pengchong Qiao Chang-rui Liu Guoli Song Xiawu Zheng Jie Chen OODD 31 10 0 29 May 2023
Online Open-set Semi-supervised Object Detection with Dual Competing Head Zerun Wang Ling Xiao Liuyu Xiang Zhaotian Weng Toshihiko Yamasaki 36 0 0 23 May 2023
Open-world Semi-supervised Novel Class Discovery Jiaming Liu Yangqiming Wang Tongze Zhang Yulu Fan Qinli Yang Junming Shao 17 15 0 22 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao Xin Wen Kai Han 33 46 0 10 May 2023
Incremental Generalized Category Discovery Bingchen Zhao Oisin Mac Aodha CLL 48 12 0 27 Apr 2023
Transfer-Once-For-All: AI Model Optimization for Edge Achintya Kundu L. Wynter Rhui Dih Lee L. A. Bathen 17 7 0 27 Mar 2023
On the link between generative semi-supervised learning and generative open-set recognition E. Engelbrecht Johan A. du Preez GAN 21 2 0 21 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning Yang Yu Danruo Deng Fu-Lun Liu Yueming Jin Qi Dou Guangyong Chen Pheng-Ann Heng EDL BDL 35 3 0 21 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 Mar 2023
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring Nikhil Cherian Kurian Varsha S Abhijit Patil Shashikant D. Khade A. Sethi OOD 25 1 0 17 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data Sangwoo Mo Jong-Chyi Su Chih-Yao Ma Mido Assran Ishan Misra Licheng Yu Sean Bell AI4TS 29 13 0 28 Feb 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 34 6 0 24 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 34 10 0 20 Jan 2023
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han Han-Jia Ye De-Chuan Zhan 21 6 0 15 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 25 0 0 11 Jan 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 38 67 0 21 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 19 3 0 03 Nov 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun Wei Wang OODD 26 5 0 13 Oct 2022
Prompt-driven efficient Open-set Semi-supervised Learning Haoran Li Chun-Mei Feng Tao Zhou Yong Xu Xiaojun Chang 19 4 0 28 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Paul L. Rosin Yibin Li Wei Emma Zhang OOD UQCV 42 0 0 19 Sep 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 21 22 0 29 Aug 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 27 10 0 25 Aug 2022