:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Shuyang, Zheng, Ruiqiu, Shen, Yunhang, Li, Ke, Sun, Xing, Yu, Zhou, Lin, Shaohui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2412.17547
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A General and Efficient Training for Transformer via Token Expansion
by: Huang, Wenxuan, et al.
Published: (2024)

Semi-supervised Fréchet Regression
by: Qiu, Rui, et al.
Published: (2024)

Feature Space Renormalization for Semi-supervised Learning
by: Sun, Jun, et al.
Published: (2023)

Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
by: Zhou, Gengmo, et al.
Published: (2024)

Generation Properties of Stochastic Interpolation under Finite Training Set
by: Li, Yunchen, et al.
Published: (2025)

SemiReward: A General Reward Model for Semi-supervised Learning
by: Li, Siyuan, et al.
Published: (2023)

Incremental Self-training for Semi-supervised Learning
by: Guo, Jifeng, et al.
Published: (2024)

Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
by: Li, Wenyun, et al.
Published: (2025)

Semi-supervised Domain Adaptation in Graph Transfer Learning
by: Qiao, Ziyue, et al.
Published: (2023)

Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
by: Wang, Yu, et al.
Published: (2024)

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
by: Xiao, Jiaren, et al.
Published: (2023)

Exploring Probabilistic Models for Semi-supervised Learning
by: Wang, Jianfeng
Published: (2024)

Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
by: Lin, Junchao, et al.
Published: (2022)

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)

Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
by: Huang, Wenxuan, et al.
Published: (2024)

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
by: Kang, Yan, et al.
Published: (2020)

Generative Semi-supervised Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2024)

Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods
by: Shen, Zhaiming, et al.
Published: (2025)

Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
by: Wu, Tsung-Han, et al.
Published: (2024)

Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
by: He, Wenbo, et al.
Published: (2025)

Semi-supervised Contrastive Learning Using Partial Label Information
by: Hansen, Colin B., et al.
Published: (2020)

Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024)

PPGF: Probability Pattern-Guided Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2025)

Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
by: Liu, Binghong, et al.
Published: (2024)

Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
by: Chung, Jichan, et al.
Published: (2025)

A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025)

Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
by: Li, Mengtian, et al.
Published: (2024)

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
by: Wang, Yulin, et al.
Published: (2020)

Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
by: Chen, Jiazhen, et al.
Published: (2025)

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
by: Li, Haolin, et al.
Published: (2026)

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
by: Fan, Yan, et al.
Published: (2023)

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
by: Yu, Yang, et al.
Published: (2023)

Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
by: Yang, Yang, et al.
Published: (2024)

Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
by: Song, Yunfu, et al.
Published: (2025)

CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
by: Bae, Jinsoo, et al.
Published: (2025)

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
by: Ai, Guoguo, et al.
Published: (2025)