DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples

26 October 2021

Papers citing "DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples"

22 / 22 papers shown

Title
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots Ebube Alor Ahmad Abdellatif SayedHassan Khatoonabadi Emad Shihab 29 0 0 09 Oct 2024
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 12 6 0 06 Nov 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions Khanh-Binh Nguyen Joon-Sung Yang 14 7 0 15 Aug 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 16 6 0 24 Jan 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 8 66 0 12 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 13 23 0 10 Jan 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 18 13 0 13 Dec 2022
Protecting Split Learning by Potential Energy Loss Fei Zheng Chaochao Chen Lingjuan Lyu Xinyi Fu Xing Fu Weiqiang Wang Xiaolin Zheng Jianwei Yin 22 4 0 18 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 19 7 0 07 Oct 2022
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification Zeqi Chen Zhichao Cui Chi Zhang Jiahuan Zhou Yuehu Liu NoLa 25 17 0 07 Oct 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data Zhe Huang Mary-Joy Sidhom B. Wessler M. C. Hughes 12 10 0 25 Aug 2022
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization Raphael Baena Lucas Drumetz Vincent Gripon 11 3 0 07 Aug 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 22 293 0 19 Jun 2022
Confident Sinkhorn Allocation for Pseudo-Labeling Vu-Linh Nguyen Hisham Husain S. Farfade A. Hengel 12 5 0 13 Jun 2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand SSL 8 12 0 11 May 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 8 91 0 11 Feb 2022
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 20 13 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 201 848 0 15 Oct 2021
Weakly-supervised Text Classification Based on Keyword Graph Lu Zhang Jiandong Ding Yi Xu Yingyao Liu Shuigeng Zhou OffRL OOD 36 57 0 06 Oct 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 149 194 0 16 Oct 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017