Cover Image

You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Xiaotian, Chen, Tianlong, Zhou, Kaixiong, Jiang, Zhimeng, Wang, Zhangyang, Hu, Xia
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gradient Rewiring for Editable Graph Neural Network Training
by: Jiang, Zhimeng, et al.
Published: (2024)

Controllable Pareto Trade-off between Fairness and Accuracy
by: Du, Yongkang, et al.
Published: (2025)

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
by: P, Srivatsa, et al.
Published: (2020)

You Only Train Once
by: Sakaridis, Christos
Published: (2025)

pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
by: Lei, Haoyu, et al.
Published: (2025)

You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
by: Dayta, Dominic B.
Published: (2024)

Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness
by: Hou, Xiaotian, et al.
Published: (2024)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
by: Zhou, Huixue, et al.
Published: (2025)

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
by: Shao, Shitong, et al.
Published: (2023)

Closing the Gap in the Trade-off between Fair Representations and Accuracy
by: Rout, Biswajit, et al.
Published: (2024)

You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
by: Tian, Bowen, et al.
Published: (2025)

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
by: Liu, Chen-Yu, et al.
Published: (2025)

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
by: Ni, Yijin, et al.
Published: (2025)

You Only Train Once: Differentiable Subset Selection for Omics Data
by: Chopard, Daphné, et al.
Published: (2025)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
by: Shang, Tianqi, et al.
Published: (2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)

YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training
by: Li, Yi, et al.
Published: (2024)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)

Make Optimization Once and for All with Fine-grained Guidance
by: Shi, Mingjia, et al.
Published: (2025)

Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
by: Zaland, Obaidullah, et al.
Published: (2025)

Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR
by: Gu, Hengrui, et al.
Published: (2026)

Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024)

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
by: Wasif, Dawood, et al.
Published: (2025)

Prompting Fairness: Integrating Causality to Debias Large Language Models
by: Li, Jingling, et al.
Published: (2024)

Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
by: Go, Eun, et al.
Published: (2026)

Inference for an Algorithmic Fairness-Accuracy Frontier
by: Liu, Yiqi, et al.
Published: (2024)

Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers
by: Norgren, Victor
Published: (2026)

Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
by: Sheinkman, Alisa, et al.
Published: (2025)

The Fairness-Quality Trade-off in Clustering
by: Hakim, Rashida, et al.
Published: (2024)

You Only Look Once at Anytime (AnytimeYOLO): Analysis and Optimization of Early-Exits for Object-Detection
by: Kuhse, Daniel, et al.
Published: (2025)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
by: Xiang, Zhichen, et al.
Published: (2024)

Stability and Accuracy Trade-offs in Statistical Estimation
by: Chakraborty, Abhinav, et al.
Published: (2026)

Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
by: Gallagher, James E., et al.
Published: (2024)

You Only Need Your Transformer 25% of the Time: Meaning-First Execution for Eliminating Unnecessary Inference
by: Shamim, Ryan
Published: (2025)

Fairness-Accuracy Trade-Offs: A Causal Perspective
by: Plecko, Drago, et al.
Published: (2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
by: Jin, Hongye, et al.
Published: (2024)

A Fundamental Accuracy--Robustness Trade-off in Regression and Classification
by: Bahmani, Sohail
Published: (2024)

Architecture Selection via the Trade-off Between Accuracy and Robustness
by: Deng, Zhun, et al.
Published: (2019)

Trading-off Accuracy and Communication Cost in Federated Learning
by: Villani, Mattia Jacopo, et al.
Published: (2025)