Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Kazemi, Alireza, Rezvani, Helia, Baktashmotlagh, Mahsa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
by: Khoba, Prafful Kumar, et al.
Published: (2025)
by: Khoba, Prafful Kumar, et al.
Published: (2025)
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
by: Liu, Chenzhi, et al.
Published: (2025)
by: Liu, Chenzhi, et al.
Published: (2025)
MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
by: Kulatilleke, Gayan K., et al.
Published: (2026)
by: Kulatilleke, Gayan K., et al.
Published: (2026)
Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare
by: Ahmed, Maheed H., et al.
Published: (2026)
by: Ahmed, Maheed H., et al.
Published: (2026)
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2024)
by: Chen, Zhuoxiao, et al.
Published: (2024)
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
by: Oldfield, Brodie, et al.
Published: (2025)
by: Oldfield, Brodie, et al.
Published: (2025)
Advanced Deep Learning Techniques for Classifying Dental Conditions Using Panoramic X-Ray Images
by: Golkarieh, Alireza, et al.
Published: (2025)
by: Golkarieh, Alireza, et al.
Published: (2025)
Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics
by: Sadeghi, Alireza, et al.
Published: (2026)
by: Sadeghi, Alireza, et al.
Published: (2026)
From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting
by: Namazi, Alireza, et al.
Published: (2026)
by: Namazi, Alireza, et al.
Published: (2026)
FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
by: Pan, Chao, et al.
Published: (2026)
by: Pan, Chao, et al.
Published: (2026)
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
by: Kakosimos, Panagiotis, et al.
Published: (2025)
by: Kakosimos, Panagiotis, et al.
Published: (2025)
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
by: Rosenblatt, Lucas, et al.
Published: (2024)
by: Rosenblatt, Lucas, et al.
Published: (2024)
Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation
by: Ngo, Tran Gia Bao, et al.
Published: (2026)
by: Ngo, Tran Gia Bao, et al.
Published: (2026)
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
by: Baharlouei, Sina, et al.
Published: (2023)
by: Baharlouei, Sina, et al.
Published: (2023)
ExplainBench: A Benchmark Framework for Local Model Explanations in Fairness-Critical Applications
by: Afful, James
Published: (2025)
by: Afful, James
Published: (2025)
Analysis of Robustness of a Large Game Corpus
by: Bazzaz, Mahsa, et al.
Published: (2025)
by: Bazzaz, Mahsa, et al.
Published: (2025)
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks
by: Nayeri, Zahra Makki, et al.
Published: (2026)
by: Nayeri, Zahra Makki, et al.
Published: (2026)
FairTP: A Prolonged Fairness Framework for Traffic Prediction
by: Xia, Jiangnan, et al.
Published: (2024)
by: Xia, Jiangnan, et al.
Published: (2024)
A Framework for Fair Evaluation of Variance-Aware Bandit Algorithms
by: Wolf, Elise
Published: (2025)
by: Wolf, Elise
Published: (2025)
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
by: Mou, Guanyi, et al.
Published: (2024)
by: Mou, Guanyi, et al.
Published: (2024)
Fairness and Robustness in Machine Unlearning
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
by: Khorzooghi, Seyyed Mohammad Sadegh Moosavi, et al.
Published: (2025)
by: Khorzooghi, Seyyed Mohammad Sadegh Moosavi, et al.
Published: (2025)
A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection
by: Rashnu, Alireza, et al.
Published: (2024)
by: Rashnu, Alireza, et al.
Published: (2024)
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation
by: Rezvani, Salim, et al.
Published: (2024)
by: Rezvani, Salim, et al.
Published: (2024)
A Generic Framework for Conformal Fairness
by: Vadlamani, Aditya T., et al.
Published: (2025)
by: Vadlamani, Aditya T., et al.
Published: (2025)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)
by: Han, Xiaotian, et al.
Published: (2023)
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
by: Shah, Arya, et al.
Published: (2026)
by: Shah, Arya, et al.
Published: (2026)
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
by: Small, Edward, et al.
Published: (2022)
by: Small, Edward, et al.
Published: (2022)
When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift
by: Mehta, Sushant
Published: (2025)
by: Mehta, Sushant
Published: (2025)
Resource-efficient medical image classification for edge devices
by: Lavaei, Mahsa, et al.
Published: (2025)
by: Lavaei, Mahsa, et al.
Published: (2025)
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)
by: Roy, Arjun, et al.
Published: (2023)
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)
by: Lin, Yumeng, et al.
Published: (2025)
The Statistical Fairness-Accuracy Frontier
by: Fallah, Alireza, et al.
Published: (2025)
by: Fallah, Alireza, et al.
Published: (2025)
Fairness in Survival Analysis with Distributionally Robust Optimization
by: Hu, Shu, et al.
Published: (2024)
by: Hu, Shu, et al.
Published: (2024)
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
by: Valizadeh, Mahsa, et al.
Published: (2025)
by: Valizadeh, Mahsa, et al.
Published: (2025)
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes
by: Robertson, Jake, et al.
Published: (2024)
by: Robertson, Jake, et al.
Published: (2024)
Fair Text Classification via Transferable Representations
by: Leteno, Thibaud, et al.
Published: (2025)
by: Leteno, Thibaud, et al.
Published: (2025)
Similar Items
-
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
by: Khoba, Prafful Kumar, et al.
Published: (2025) -
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
by: Liu, Chenzhi, et al.
Published: (2025) -
MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
by: Kulatilleke, Gayan K., et al.
Published: (2026) -
Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare
by: Ahmed, Maheed H., et al.
Published: (2026) -
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2024)