Cover Image

Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Qi, Hu, Quanqi, Lin, Qihang, Yang, Tianbao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
by: Yi, Chenlang, et al.
Published: (2025)

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
by: Balmaseda, Vicente, et al.
Published: (2025)

FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024)

Breaking the Limits of Open-Weight CLIP: An Optimization Framework for Self-supervised Fine-tuning of CLIP
by: Mehta, Anant, et al.
Published: (2026)

Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2023)

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)

FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)

Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
by: Mishra, Divyanshu, et al.
Published: (2025)

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)

A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
by: Wei, Xiyuan, et al.
Published: (2025)

KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)

Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)

Utility-Fairness Trade-Offs and How to Find Them
by: Dehdashtian, Sepehr, et al.
Published: (2024)

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)

Fairness in Multi-modal Medical Diagnosis with Demonstration Selection
by: Li, Dawei, et al.
Published: (2025)

OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)

A Survey on Self-supervised Contrastive Learning for Multimodal Text-Image Analysis
by: Khan, Asifullah, et al.
Published: (2025)

From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
by: Wang, Janet, et al.
Published: (2023)

Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
by: Qin, Huaiyuan, et al.
Published: (2025)

Learning Style Identification Using Semi-Supervised Self-Taught Labeling
by: Ayyoub, Hani Y., et al.
Published: (2024)

SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
by: Qian, Qi, et al.
Published: (2024)

Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)

BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
by: Feng, Qianhan, et al.
Published: (2024)

Multi-Output Distributional Fairness via Post-Processing
by: Li, Gang, et al.
Published: (2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
by: Gheisi, Leila, et al.
Published: (2024)

LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)

Provable Contrastive Continual Learning
by: Wen, Yichen, et al.
Published: (2024)

Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
by: Duan, Yue, et al.
Published: (2025)

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
by: Tang, Feilong, et al.
Published: (2024)

MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
by: Zubair, Md, et al.
Published: (2025)

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
by: Belhadj, Samia, et al.
Published: (2024)

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
by: Yong, Xixian, et al.
Published: (2024)

Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
by: Karlov, Mark, et al.
Published: (2024)

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb
by: Swati, Swati, et al.
Published: (2024)