Copertina

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Haozhen, Xiao, Xi, Yu, Le, Li, Qing, Ling, Zhen, Zhang, Ye
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
di: Zhang, Haozhen, et al.
Pubblicazione: (2025)

TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
di: Wang, Zihao, et al.
Pubblicazione: (2025)

TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
di: He, Qing, et al.
Pubblicazione: (2026)

Unsupervised Dataset Cleaning Framework for Encrypted Traffic Classification
di: Qiu, Kun, et al.
Pubblicazione: (2025)

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
di: Zhu, Wang, et al.
Pubblicazione: (2024)

Mean Masked Autoencoder with Flow-Mixing for Encrypted Traffic Classification
di: Liu, Xiao, et al.
Pubblicazione: (2026)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
di: Ji, Jiahao, et al.
Pubblicazione: (2022)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
di: Liao, Xiao-Cheng, et al.
Pubblicazione: (2025)

MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling
di: Zhang, Yu, et al.
Pubblicazione: (2025)

Variational Task Vector Composition
di: Zhang, Boyuan, et al.
Pubblicazione: (2025)

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework
di: Liang, Zhen, et al.
Pubblicazione: (2024)

A Unified Contrastive-Generative Framework for Time Series Classification
di: Liu, Ziyu, et al.
Pubblicazione: (2025)

One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
di: Wang, Bo, et al.
Pubblicazione: (2024)

Test Time Training for Supervised Causal Learning
di: Deng, Zizhen, et al.
Pubblicazione: (2026)

ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
di: Van Huynh, Tin, et al.
Pubblicazione: (2026)

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
di: Song, Yumeng, et al.
Pubblicazione: (2023)

Training MLPs on Graphs without Supervision
di: Wang, Zehong, et al.
Pubblicazione: (2024)

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
di: Zhang, Haozhen, et al.
Pubblicazione: (2025)

Learning Label Hierarchy with Supervised Contrastive Learning
di: Lian, Ruixue, et al.
Pubblicazione: (2024)

Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
di: Huang, KaiHui, et al.
Pubblicazione: (2025)

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
di: Liu, Ziyu, et al.
Pubblicazione: (2024)

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
di: Qiu, Haomiao, et al.
Pubblicazione: (2025)

Contrastive Self-Supervised Learning As Neural Manifold Packing
di: Zhang, Guanming, et al.
Pubblicazione: (2025)

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
di: Yu, Simon, et al.
Pubblicazione: (2023)

Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning
di: Roman, Claire, et al.
Pubblicazione: (2026)

Self-Supervised Learning for Time Series: Contrastive or Generative?
di: Liu, Ziyu, et al.
Pubblicazione: (2024)

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
di: Dave, Vedant, et al.
Pubblicazione: (2024)

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
di: Dai, Yajiao, et al.
Pubblicazione: (2025)

On the Properties of Feature Attribution for Supervised Contrastive Learning
di: Arrighi, Leonardo, et al.
Pubblicazione: (2026)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
di: Luo, Xunlian, et al.
Pubblicazione: (2023)

SimMLP: Training MLPs on Graphs without Supervision
di: Wang, Zehong, et al.
Pubblicazione: (2024)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
di: Ren, Junyu, et al.
Pubblicazione: (2026)

DynamicLight: Two-Stage Dynamic Traffic Signal Timing
di: Zhang, Liang, et al.
Pubblicazione: (2022)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
di: Wang, Changhong, et al.
Pubblicazione: (2024)

Graph Contrastive Learning with Cohesive Subgraph Awareness
di: Wu, Yucheng, et al.
Pubblicazione: (2024)

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
di: Jian, Xiangru, et al.
Pubblicazione: (2024)

Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
di: Huang, Sizhe, et al.
Pubblicazione: (2026)

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
di: Foroutan, Negar, et al.
Pubblicazione: (2025)

Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-Supervised Contrastive Learning
di: Xiao, Qian, et al.
Pubblicazione: (2024)

ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification
di: Quinlan, Paul, et al.
Pubblicazione: (2026)