Classification Imbalance as Transfer Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Xia, Eric, Klusowski, Jason M. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Robust Transfer Learning with Unreliable Source Data
por: Fan, Jianqing, et al.
Publicado: (2023)
por: Fan, Jianqing, et al.
Publicado: (2023)
Stochastic Gradient Descent for Nonparametric Additive Regression
por: Chen, Xin, et al.
Publicado: (2024)
por: Chen, Xin, et al.
Publicado: (2024)
Sharp Convergence Rates for Matching Pursuit
por: Klusowski, Jason M., et al.
Publicado: (2023)
por: Klusowski, Jason M., et al.
Publicado: (2023)
Coupled Training with Privileged Information and Unlabeled Data
por: Shi, Jiahao, et al.
Publicado: (2026)
por: Shi, Jiahao, et al.
Publicado: (2026)
Error Reduction from Stacked Regressions
por: Chen, Xin, et al.
Publicado: (2023)
por: Chen, Xin, et al.
Publicado: (2023)
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning
por: M, Jayasudha, et al.
Publicado: (2023)
por: M, Jayasudha, et al.
Publicado: (2023)
Sharp Trade-Offs in High-Dimensional Inference via 2-Level SLOPE
por: Bu, Zhiqi, et al.
Publicado: (2025)
por: Bu, Zhiqi, et al.
Publicado: (2025)
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
por: Cattaneo, Matias D., et al.
Publicado: (2022)
por: Cattaneo, Matias D., et al.
Publicado: (2022)
Revisiting Randomization in Greedy Model Search
por: Chen, Xin, et al.
Publicado: (2025)
por: Chen, Xin, et al.
Publicado: (2025)
On the Implicit Bias of Adam
por: Cattaneo, Matias D., et al.
Publicado: (2023)
por: Cattaneo, Matias D., et al.
Publicado: (2023)
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
por: Chen, Sijin, et al.
Publicado: (2024)
por: Chen, Sijin, et al.
Publicado: (2024)
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
por: Cattaneo, Matias D., et al.
Publicado: (2025)
por: Cattaneo, Matias D., et al.
Publicado: (2025)
Learning Confidence Bounds for Classification with Imbalanced Data
por: Clifford, Matt, et al.
Publicado: (2024)
por: Clifford, Matt, et al.
Publicado: (2024)
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification
por: Kishanthan, Sukumar, et al.
Publicado: (2025)
por: Kishanthan, Sukumar, et al.
Publicado: (2025)
Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification
por: Cha, Suman, et al.
Publicado: (2025)
por: Cha, Suman, et al.
Publicado: (2025)
Differentially Private Prototypes for Imbalanced Transfer Learning
por: Wahdany, Dariush, et al.
Publicado: (2024)
por: Wahdany, Dariush, et al.
Publicado: (2024)
Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators
por: Tan, Yan Shuo, et al.
Publicado: (2024)
por: Tan, Yan Shuo, et al.
Publicado: (2024)
Geometric Imbalance in Semi-Supervised Node Classification
por: Yan, Liang, et al.
Publicado: (2023)
por: Yan, Liang, et al.
Publicado: (2023)
Conformal Inference for Open-Set and Imbalanced Classification
por: Xie, Tianmin, et al.
Publicado: (2025)
por: Xie, Tianmin, et al.
Publicado: (2025)
Graffin: Stand for Tails in Imbalanced Node Classification
por: Qi, Xiaorui, et al.
Publicado: (2024)
por: Qi, Xiaorui, et al.
Publicado: (2024)
Challenges in Variable Importance Ranking Under Correlation
por: Liang, Annie, et al.
Publicado: (2024)
por: Liang, Annie, et al.
Publicado: (2024)
Kernel-Based Enhanced Oversampling Method for Imbalanced Classification
por: Li, Wenjie, et al.
Publicado: (2025)
por: Li, Wenjie, et al.
Publicado: (2025)
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models
por: Chen, Yan, et al.
Publicado: (2024)
por: Chen, Yan, et al.
Publicado: (2024)
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification
por: Hu, Yulan, et al.
Publicado: (2023)
por: Hu, Yulan, et al.
Publicado: (2023)
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
por: Li, Zihao, et al.
Publicado: (2024)
por: Li, Zihao, et al.
Publicado: (2024)
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
por: D'souza, Annie, et al.
Publicado: (2024)
por: D'souza, Annie, et al.
Publicado: (2024)
Inference with Mondrian Random Forests
por: Cattaneo, Matias D., et al.
Publicado: (2023)
por: Cattaneo, Matias D., et al.
Publicado: (2023)
Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification
por: Avela, Aleksi, et al.
Publicado: (2025)
por: Avela, Aleksi, et al.
Publicado: (2025)
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
por: Cavus, Mustafa, et al.
Publicado: (2024)
por: Cavus, Mustafa, et al.
Publicado: (2024)
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems
por: Stando, Adrian, et al.
Publicado: (2023)
por: Stando, Adrian, et al.
Publicado: (2023)
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
por: Malialis, Kleanthis, et al.
Publicado: (2022)
por: Malialis, Kleanthis, et al.
Publicado: (2022)
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
por: Zeng, Fanlong, et al.
Publicado: (2025)
por: Zeng, Fanlong, et al.
Publicado: (2025)
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning
por: Pei, Wenbin, et al.
Publicado: (2024)
por: Pei, Wenbin, et al.
Publicado: (2024)
Active Learning for Planet Habitability Classification under Extreme Class Imbalance
por: El-Kholy, R. I., et al.
Publicado: (2026)
por: El-Kholy, R. I., et al.
Publicado: (2026)
Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography
por: Hossain, S M Asif, et al.
Publicado: (2026)
por: Hossain, S M Asif, et al.
Publicado: (2026)
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
por: Ma, Rongrong, et al.
Publicado: (2024)
por: Ma, Rongrong, et al.
Publicado: (2024)
Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification
por: Mayala, Moria, et al.
Publicado: (2025)
por: Mayala, Moria, et al.
Publicado: (2025)
Catch Causal Signals from Edges for Label Imbalance in Graph Classification
por: Zhang, Fengrui, et al.
Publicado: (2025)
por: Zhang, Fengrui, et al.
Publicado: (2025)
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
por: Teimuri, Mohammad T., et al.
Publicado: (2025)
por: Teimuri, Mohammad T., et al.
Publicado: (2025)
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification
por: Peng, Le, et al.
Publicado: (2025)
por: Peng, Le, et al.
Publicado: (2025)
Ejemplares similares
-
Robust Transfer Learning with Unreliable Source Data
por: Fan, Jianqing, et al.
Publicado: (2023) -
Stochastic Gradient Descent for Nonparametric Additive Regression
por: Chen, Xin, et al.
Publicado: (2024) -
Sharp Convergence Rates for Matching Pursuit
por: Klusowski, Jason M., et al.
Publicado: (2023) -
Coupled Training with Privileged Information and Unlabeled Data
por: Shi, Jiahao, et al.
Publicado: (2026) -
Error Reduction from Stacked Regressions
por: Chen, Xin, et al.
Publicado: (2023)