"semi-supervised learning" Papers
95 papers found • Page 2 of 2
Conference
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan et al.
Entropic Open-Set Active Learning
Bardia Safaei, Vibashan VS, Celso de Melo et al.
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei
FaceLift: Semi-supervised 3D Facial Landmark Localization
David Ferman, Pablo Garrido, Gaurav Bharaj
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning
Konstantinos Ameranis, Adela DePavia, Lorenzo Orecchia et al.
Fast Co-Training under Weak Dependence via Stream-Based Active Learning
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren et al.
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak
Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation
Hritam Basak, Zhaozheng Yin
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Yuxuan Yin, Yu Wang, Peng Li
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu, Jin shi Cui
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul, Zachary Patterson, Nizar Bouguila
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
Zhe Huang, Xiaowei Yu, Dajiang Zhu et al.
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Yuyuan Liu, Yuanhong Chen, Hu Wang et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Learning Graph Representation via Graph Entropy Maximization
Ziheng Sun, Xudong Wang, Chris Ding et al.
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
Yangfan Liu, JIAQI LYU, Xin Geng et al.
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement
Ye Yu, Fengxin Chen, Jun Yu et al.
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan, Kaipeng Zheng, Weiran Huang
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
Ning Gao, Sanping Zhou, Le Wang et al.
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
Luyao Wang, Pengnian Qi, Xigang Bao et al.
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
Taemin Park, Hyuck Lee, Heeyoung Kim
Regroup Median Loss for Combating Label Noise
Authors: Fengpeng Li, Kemou Li, Jinyu Tian et al.
Response Enhanced Semi-supervised Dialogue Query Generation
Jianheng Huang, Ante Wang, Linfeng Gao et al.
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
Yulong Zhang, Yuan Yao, Shuhao Chen et al.
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang, Jiayi Ji, Yiwei Ma et al.
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Shuvendu Roy, Ali Etemad
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
Cong Wu, Xiao-Jun Wu, Josef Kittler et al.
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Xiaopei Wu, Liang Peng, Liang Xie et al.
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
Kewei Wang, Yizheng Wu, Zhiyu Pan et al.
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.
Semi-supervised Open-World Object Detection
Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer et al.
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du, Yizeng Han, Gao Huang
Soft Contrastive Learning for Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
Yehui Tang, Nianzu Yang, Mabiao Long et al.
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma, Ismail Elezi, Jiankang Deng et al.
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Feixiang Zhou, Bryan M. Williams, Hossein Rahmani
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu et al.
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
Jiaqi Xu, Mengyang Wu, Xiaowei Hu et al.
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
Yingjie Chen, Jiarui Zhang, Tao Wang et al.
Twice Class Bias Correction for Imbalanced Semi
supervised Learning
Two-Stage Active Learning for Efficient Temporal Action Segmentation
Yuhao Su, Ehsan Elhamifar
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song, Zhiquan Tan, Bochao Zou et al.
Weak-to-Strong 3D Object Detection with X-Ray Distillation
Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin et al.