Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Haohui, Guan, Weijie, Chen, Jianpeng, Wang, Zi, Zhou, Dawei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
por: Guan, Weijie, et al.
Publicado: (2025)
por: Guan, Weijie, et al.
Publicado: (2025)
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
por: Pang, Tianyu, et al.
Publicado: (2026)
por: Pang, Tianyu, et al.
Publicado: (2026)
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
por: Wang, Haohui, et al.
Publicado: (2023)
por: Wang, Haohui, et al.
Publicado: (2023)
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox
por: Liu, Yijun, et al.
Publicado: (2024)
por: Liu, Yijun, et al.
Publicado: (2024)
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
por: Zhan, Wangzhi, et al.
Publicado: (2025)
por: Zhan, Wangzhi, et al.
Publicado: (2025)
Distilling Long-tailed Datasets
por: Zhao, Zhenghao, et al.
Publicado: (2024)
por: Zhao, Zhenghao, et al.
Publicado: (2024)
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
por: Fan, Zhou, et al.
Publicado: (2023)
por: Fan, Zhou, et al.
Publicado: (2023)
Mildly Conservative Regularized Evaluation for Offline Reinforcement Learning
por: Chen, Haohui, et al.
Publicado: (2025)
por: Chen, Haohui, et al.
Publicado: (2025)
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
por: Zeng, Xinyue, et al.
Publicado: (2025)
por: Zeng, Xinyue, et al.
Publicado: (2025)
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
por: Yan, Shanshan, et al.
Publicado: (2025)
por: Yan, Shanshan, et al.
Publicado: (2025)
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
por: Wang, Haohui, et al.
Publicado: (2025)
por: Wang, Haohui, et al.
Publicado: (2025)
BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
por: Du, Chaoqun, et al.
Publicado: (2025)
por: Du, Chaoqun, et al.
Publicado: (2025)
TALENT: A Tabular Analytics and Learning Toolbox
por: Liu, Si-Yang, et al.
Publicado: (2024)
por: Liu, Si-Yang, et al.
Publicado: (2024)
An Equivariance Toolbox for Learning Dynamics
por: Yang, Yongyi, et al.
Publicado: (2025)
por: Yang, Yongyi, et al.
Publicado: (2025)
Trusted Multi-view Learning for Long-tailed Classification
por: Tang, Chuanqing, et al.
Publicado: (2025)
por: Tang, Chuanqing, et al.
Publicado: (2025)
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
por: Shu, Chen, et al.
Publicado: (2025)
por: Shu, Chen, et al.
Publicado: (2025)
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
por: Wang, Haohui, et al.
Publicado: (2023)
por: Wang, Haohui, et al.
Publicado: (2023)
APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation
por: Zhou, Yuzhen, et al.
Publicado: (2025)
por: Zhou, Yuzhen, et al.
Publicado: (2025)
Continual Learning of Numerous Tasks from Long-tail Distributions
por: Kang, Liwei, et al.
Publicado: (2024)
por: Kang, Liwei, et al.
Publicado: (2024)
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
por: Zhou, Zi-Hao, et al.
Publicado: (2024)
por: Zhou, Zi-Hao, et al.
Publicado: (2024)
Memorizing Long-tail Data Can Help Generalization Through Composition
por: Zhou, Mo, et al.
Publicado: (2025)
por: Zhou, Mo, et al.
Publicado: (2025)
ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment
por: Pons-Suñer, Pedro, et al.
Publicado: (2024)
por: Pons-Suñer, Pedro, et al.
Publicado: (2024)
Long-tailed Recognition with Model Rebalancing
por: Luo, Jiaan, et al.
Publicado: (2025)
por: Luo, Jiaan, et al.
Publicado: (2025)
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
por: Aimar, Emanuel Sanchez, et al.
Publicado: (2023)
por: Aimar, Emanuel Sanchez, et al.
Publicado: (2023)
Mitigating Estimation Bias with Representation Learning in TD Error-Driven Regularization
por: Chen, Haohui, et al.
Publicado: (2025)
por: Chen, Haohui, et al.
Publicado: (2025)
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
por: Chen, Haohui, et al.
Publicado: (2024)
por: Chen, Haohui, et al.
Publicado: (2024)
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
por: Hong, Feng, et al.
Publicado: (2025)
por: Hong, Feng, et al.
Publicado: (2025)
FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
por: Yu, Liheng, et al.
Publicado: (2026)
por: Yu, Liheng, et al.
Publicado: (2026)
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
por: Wang, Minjie, et al.
Publicado: (2024)
por: Wang, Minjie, et al.
Publicado: (2024)
Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
por: Zhang, Yiqun, et al.
Publicado: (2026)
por: Zhang, Yiqun, et al.
Publicado: (2026)
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
por: Chuang, Yu-Neng, et al.
Publicado: (2024)
por: Chuang, Yu-Neng, et al.
Publicado: (2024)
Conformal Prediction Meets Long-tail Classification
por: Liu, Shuqi, et al.
Publicado: (2025)
por: Liu, Shuqi, et al.
Publicado: (2025)
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
por: Wang, Yakun, et al.
Publicado: (2024)
por: Wang, Yakun, et al.
Publicado: (2024)
Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
por: Zhang, Sirui, et al.
Publicado: (2026)
por: Zhang, Sirui, et al.
Publicado: (2026)
LPT++: Efficient Training on Mixture of Long-tailed Experts
por: Dong, Bowen, et al.
Publicado: (2024)
por: Dong, Bowen, et al.
Publicado: (2024)
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
por: Lv, Fengling, et al.
Publicado: (2024)
por: Lv, Fengling, et al.
Publicado: (2024)
Making Reliable and Flexible Decisions in Long-tailed Classification
por: Li, Bolian, et al.
Publicado: (2025)
por: Li, Bolian, et al.
Publicado: (2025)
Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
por: Dai, Tianyu, et al.
Publicado: (2024)
por: Dai, Tianyu, et al.
Publicado: (2024)
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
por: Zhang, Shuaicheng, et al.
Publicado: (2025)
por: Zhang, Shuaicheng, et al.
Publicado: (2025)
RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution
por: Xiang, Lanxin, et al.
Publicado: (2026)
por: Xiang, Lanxin, et al.
Publicado: (2026)
Ejemplares similares
-
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
por: Guan, Weijie, et al.
Publicado: (2025) -
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
por: Pang, Tianyu, et al.
Publicado: (2026) -
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
por: Wang, Haohui, et al.
Publicado: (2023) -
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox
por: Liu, Yijun, et al.
Publicado: (2024) -
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
por: Zhan, Wangzhi, et al.
Publicado: (2025)