:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Jiawei, Xiao, Yang, Huang, Weipeng, Piao, Guangyuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2507.04413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
by: Huang, Weipeng, et al.
Published: (2025)

Rényi Divergence Deep Mutual Learning
by: Huang, Weipeng, et al.
Published: (2022)

Review of Extreme Multilabel Classification
by: Dasgupta, Arpan, et al.
Published: (2023)

TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
by: Zhang, Yunyi, et al.
Published: (2024)

MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)

Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
by: Agrawal, Neeraj, et al.
Published: (2025)

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)

Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation
by: Leonov, Aleksei, et al.
Published: (2024)

Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification
by: Oppelt, Maximilian P, et al.
Published: (2020)

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
by: Khatuya, Subhendu, et al.
Published: (2025)

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning
by: Jiang, Jiawei, et al.
Published: (2024)

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
by: Efimovich, Maria, et al.
Published: (2024)

Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification
by: Jalali, Hamed, et al.
Published: (2022)

Rethinking Self-Training Based Cross-Subject Domain Adaptation for SSVEP Classification
by: Wang, Weiguang, et al.
Published: (2026)

Estimating Conditional Covariance between labels for Multilabel Data
by: Park, Laurence A. F., et al.
Published: (2025)

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

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
by: Chen, Yuxuan, et al.
Published: (2025)

Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
by: Yao, Zhihao
Published: (2025)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
by: Jiang, Pengcheng, et al.
Published: (2023)

Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
by: Valero-Mas, Jose J., et al.
Published: (2022)

CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
by: Elgabry, Menna, et al.
Published: (2026)

TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning
by: Tan, Zexi, et al.
Published: (2026)

Probabilistic Multilabel Graphical Modelling of Motif Transformations in Symbolic Music
by: Taieb, Ron, et al.
Published: (2026)

mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms
by: Rivera, Antonio J., et al.
Published: (2023)

On the Spectral Structure and Objective Equivalence of Orthogonal Multilabel Fisher Discriminants
by: Keith-Norambuena, Brian, et al.
Published: (2026)

RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
by: Huang, Yixuan, et al.
Published: (2026)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Revisiting Hierarchical Text Classification: Inference and Metrics
by: Plaud, Roman, et al.
Published: (2024)

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
by: Guo, Xun, et al.
Published: (2024)

TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer
by: Wang, Jiawei, et al.
Published: (2026)

Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
by: Audibert, Alexandre, et al.
Published: (2024)

Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
by: Elgabry, Menna, et al.
Published: (2026)

Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
by: Garcia, Kevin, et al.
Published: (2025)

HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation
by: Pan, Mengting, et al.
Published: (2025)

Hierarchical Federated Learning for Social Network with Mobility
by: Chen, Zeyu, et al.
Published: (2025)

Graph Contrastive Learning for Connectome Classification
by: Schmidt, Martín, et al.
Published: (2025)

Hierarchical Contrastive Learning for Multimodal Data
by: Li, Huichao, et al.
Published: (2026)

Learning ECG Representations via Poly-Window Contrastive Learning
by: Yuan, Yi, et al.
Published: (2025)

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
by: Yao, Xin, et al.
Published: (2025)