:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	de Alvis, Charika, Seneviratne, Suranga
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2404.15593
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-Tail Learning with Rebalanced Contrastive Loss
by: De Alvis, Charika, et al.
Published: (2023)

Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
by: Karunanayake, Naveen, et al.
Published: (2024)

RankOOD -- Class Ranking-based Out-of-Distribution Detection
by: Denipitiyage, Dishanika, et al.
Published: (2025)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
by: Tavallaie, Omid, et al.
Published: (2024)

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)

Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
by: Huang, Haoqi, et al.
Published: (2025)

Conformal Prediction for Long-Tailed Classification
by: Ding, Tiffany, et al.
Published: (2025)

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
by: Li, Sicong, et al.
Published: (2025)

Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
by: Le, Long Tan, et al.
Published: (2025)

Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training
by: Sakai, Taigo, et al.
Published: (2025)

Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
by: Su, Yujia, et al.
Published: (2025)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
by: Lee, Seunghyun, et al.
Published: (2025)

Entailment-Driven Privacy Policy Classification with LLMs
by: Silva, Bhanuka, et al.
Published: (2024)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
by: Niroshan, Akila, et al.
Published: (2025)

QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs
by: Denipitiyage, Dishanika, et al.
Published: (2026)

Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
by: Li, Qiongxiu, et al.
Published: (2025)

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

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention
by: Spadea, Fernando, et al.
Published: (2026)

Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
by: Denipitiyage, D., et al.
Published: (2025)

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
by: Tang, Kaihua, et al.
Published: (2020)

Graffin: Stand for Tails in Imbalanced Node Classification
by: Qi, Xiaorui, et al.
Published: (2024)

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction
by: Zheng, Liangwei Nathan, et al.
Published: (2024)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
by: Ranaweera, Nishavi, et al.
Published: (2025)

Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives Contracts
by: Mridul, Maruf Ahmed, et al.
Published: (2025)

Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization
by: Spadea, Fernando, et al.
Published: (2025)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
by: Spadea, Fernando, et al.
Published: (2026)

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
by: Rodriguez, Esther, et al.
Published: (2025)

Exploring Weight Balancing on Long-Tailed Recognition Problem
by: Hasegawa, Naoya, et al.
Published: (2023)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection
by: Nguyen, Tung-Anh, et al.
Published: (2024)

Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
by: Dutta, Debasish, et al.
Published: (2025)

Comment on “Green Human Capital and Carbon Emissions of Asian Firms”
by: Charika Channuntapipat
Published: (2025)

Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
by: S, Abhijith, et al.
Published: (2024)

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
by: Zhou, Zi-Hao, et al.
Published: (2024)

Asymptotic Classification Error for Heavy-Tailed Renewal Processes
by: Rong, Xinhui, et al.
Published: (2024)

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking
by: Wang, Zhanliang, et al.
Published: (2026)

Exploring "Many in Few" and "Few in Many" Properties in Long-Tailed, Highly-Imbalanced IC Defect Classification
by: Shao, Hao-Chiang, et al.
Published: (2025)

Aligning Language Models with Investor and Market Behavior for Financial Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
by: Wu, Bijun, et al.
Published: (2025)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
by: Spadea, Fernando, et al.
Published: (2025)