Semi-Supervised Learning

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance

Lukas Hoyer, David Tan, Muhammad Ferjad Naeem et al.

VideoWorld: Exploring Knowledge Learning from Unlabeled Videos

Zhongwei Ren, Yunchao Wei, Xun Guo et al.

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data

Jiahan Zhang, Qi Wei, Feng Liu et al.

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data

Xinting Liao, Weiming Liu, Chaochao Chen et al.

SemiReward: A General Reward Model for Semi-supervised Learning

Siyuan Li, Weiyang Jin, Zedong Wang et al.

Semi-supervised Active Learning for Video Action Detection

Ayush Singh, Aayush J Rana, Akash Kumar et al.

Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification

Zhe Huang, Ruijie Jiang, Shuchin Aeron et al.

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch

Chun-Liang Li, Tomas Pfister, Kihyuk Sohn et al.

Learning Camouflaged Object Detection from Noisy Pseudo Label

Jin Zhang, Ruiheng Zhang, Yanjiao Shi et al.

Foster Adaptivity and Balance in Learning with Noisy Labels

Mengmeng Sheng, Zeren Sun, Tao 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.

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du, Yizeng Han, Gao Huang

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

Jianwu Li, Kaiyue Shi, Guo-Sen Xie et al.

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang

Semi-supervised Concept Bottleneck Models

Lijie Hu, Tianhao Huang, Huanyi Xie et al.

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning

Pingting Hao, Kunpeng Liu, Wanfu Gao

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical

Wei Wang, Takashi Ishida, Yu-Jie Zhang et al.

HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation

Linglin Jing, Yiming Ding, Yunpeng Gao et al.

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

Shiyu Tian, Hongxin Wei, Yiqun Wang et al.

Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix

Kewei Wang, Yizheng Wu, Zhiyu Pan et al.

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation

Shoumeng Qiu, Jie Chen, Xinrun Li et al.

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label

Quanjiang Li, Tingjin Luo, Mingdie Jiang et al.

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction

Quan Zhang, Yuxin Qi, Xi Tang et al.

A General Framework for Learning from Weak Supervision

Hao Chen, Jindong Wang, Lei Feng et al.

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels

Pengbo Li, Hang Yu, Xiangfeng Luo

Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation

Zhiwei Yang, Yucong Meng, Kexue Fu et al.

Robust Training of Federated Models with Extremely Label Deficiency

Yonggang Zhang, Zhiqin Yang, Xinmei Tian et al.

Towards Generalizing to Unseen Domains with Few Labels

Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana et al.

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels

Pierre Vuillecard, Jean-marc Odobez

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem et al.

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang et al.

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yujun Chen, Xin Tan, Zhizhong Zhang et al.

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data

Shuvendu Roy, Ali Etemad

Learning to Manipulate Under Limited Information

Wesley H. Holliday, Alexander Kristoffersen, Eric Pacuit

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang YU, Danruo Deng, Furui Liu et al.

Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment

Wulian Yun, Mengshi Qi, Fei Peng et al.

Towards Realistic Semi-supervised Medical Image Classification

Wenxue Li, Lie Ju, Feilong Tang et al.

CGMatch: A Different Perspective of Semi-supervised Learning

Bo Cheng, Jueqing Lu, Yuan Tian et al.

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

Enhancing Multi-Label Classification via Dynamic Label-Order Learning

Jiangnan Li, Yice ZHANG, Shiwei Chen et al.

Evaluating multiple models using labeled and unlabeled data

Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.

Selective Label Enhancement Learning for Test-Time Adaptation

Yihao Hu, Congyu Qiao, Xin Geng et al.

Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation

Suruchi Kumari, Pravendra Singh

Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation

Prantik Howlader, Hieu Le, Dimitris Samaras

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.

Out-Of-Domain Unlabeled Data Improves Generalization

seyed amir hossein saberi, Amir Najafi, Alireza Heidari et al.

Revisiting Semi-Supervised Learning in the Era of Foundation Models

Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen et al.

Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou, Bryan M. Williams, Hossein Rahmani

Unsupervised Learning for Class Distribution Mismatch

Pan Du, Zhao, Xinai Lu et al.

Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization

Yizhi Wang, Weijia Zhang, Min-Ling Zhang

Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning

Amr Abourayya, Jens Kleesiek, Kanishka Rao et al.

Learning with Selectively Labeled Data from Multiple Decision-makers

Jian Chen, Zhehao Li, Xiaojie Mao

Optimizing Label Assignment for Weakly Supervised Person Search

Haiyang Zhu, Xi Yang, Nannan Wang

Joint Asymmetric Loss for Learning with Noisy Labels

Jialiang Wang, Xianming Liu, Xiong Zhou et al.

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment

Weiming Liu, Jun Dan, Fan Wang et al.

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias

Wenyu Zhang, Qingmu Liu, Felix Ong et al.

Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation

Huayu Mai, Rui Sun, Feng Wu

Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning

Yue Duan, Taicai Chen, Lei Qi et al.

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective

Wangkai Li, Rui Sun, Zhaoyang Li et al.

LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation

Jianan Li, Qiulei Dong

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting

Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.

Enhancing Numerical Prediction of MLLMs with Soft Labeling

Pei Wang, Zhaowei Cai, Hao Yang et al.

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization

Dongkwan Lee, Kyomin Hwang, Nojun Kwak

When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation

Pan Liu, Jinshi Liu

Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning

Tianxiang Yin, Ningzhong Liu, Han Sun

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs

Yunqi Hong, Sohyun An, Andrew Bai et al.

A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation

Zheng Zhang, Guanchun Yin, Bo Zhang et al.

LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection

Wei Liao, Chunyan Xu, Chenxu Wang et al.

Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement

Yuhang Li, Zhuying Li, Yuheng Jia

Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation

Zhongwen Zhang, Yuri Boykov

Learning from True-False Labels via Multi-modal Prompt Retrieving

Zhongnian Li, Jinghao Xu, Peng Ying et al.

Weakly-Supervised Contrastive Learning for Imprecise Class Labels

Zi-Hao Zhou, Jun-Jie Wang, Tong Wei et al.

S⁴M: Boosting Semi-Supervised Instance Segmentation with SAM

Heeji Yoon, Heeseong Shin, Eunbeen Hong et al.

Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels

Chenyu Mu, Yijun Qu, Jiexi Yan et al.

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework

Yushan Han, Hui Zhang, Honglei Zhang et al.

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang, Jenna Wiens

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning

Yang Li, Jiale Ma, Yebin Yang et al.

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

Xiaorui Peng, Yuheng Jia, Fuchao Yang et al.

STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries

Tahira Shehzadi, Khurram Azeem Hashmi, Shalini Sarode et al.

Towards Unbiased Learning in Semi-Supervised Semantic Segmentation

Rui Sun, Huayu Mai, Wangkai Li et al.

Self-Supervised Representation Learning from Arbitrary Scenarios

Zhaowen Li, Yousong Zhu, Zhiyang Chen et al.

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.

Conformal Prediction for Partial Label Learning

Xiuwen Gong, Nitin Bisht, Guandong Xu

Divide and Conquer: Learning Label Distribution with Subtasks

Haitao Wu, Weiwei Li, Xiuyi Jia

Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data

Xingyu Ren, Pengwei Liu, Pengkai Wang et al.

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling

Chengliang Liu, Gehui Xu, Jie Wen et al.

Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning

Biao Liu, Ning Xu, Xiangyu Fang et al.

Calibrated Disambiguation for Partial Multi-label Learning

Zhuoming Li, Yuheng Jia, Mi Yu et al.

Theoretical Insights into In-context Learning with Unlabeled Data

Yingcong Li, Xiangyu Chang, Muti Kara et al.

Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning

Hairui Ren, Fan Tang, He Zhao et al.

BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach

Haozhao Wang, Shengyu Wang, Jiaming Li et al.

Learning with Structural Labels for Learning with Noisy Labels

Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

Jing Li, Junsong Fan, Yuran Yang et al.

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling

Jiujun He, Bin Liu, Guosheng Yin

SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection

Phi Vu Tran