Image de couverture de livre

Improving Fairness and Mitigating MADness in Generative Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mayer, Paul, Luzi, Lorenzo, Siahkoohi, Ali, Johnson, Don H., Baraniuk, Richard G.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning 68T07
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Generalization Bound for a Family of Implicit Networks
par: Fung, Samy Wu, et autres
Publié: (2024)

Boomerang: Local sampling on image manifolds using diffusion models
par: Luzi, Lorenzo, et autres
Publié: (2022)

A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
par: Käppel, Martin, et autres
Publié: (2025)

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning
par: Ding, Wenhao, et autres
Publié: (2025)

TabPFN for Zero-shot Parametric Engineering Design Generation
par: Wang, Ke, et autres
Publié: (2026)

Graph-Conditional Flow Matching for Relational Data Generation
par: Scassola, Davide, et autres
Publié: (2025)

Generative Design of Ship Propellers using Conditional Flow Matching
par: Kruger, Patrick, et autres
Publié: (2026)

Training-Free Generative Sampling via Moment-Matched Score Smoothing
par: Yao, Zhenyu, et autres
Publié: (2026)

Fair Sufficient Representation Learning
par: Zhou, Xueyu, et autres
Publié: (2025)

Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning
par: Liu, Qiang, et autres
Publié: (2026)

From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
par: Yamchote, Phaphontee, et autres
Publié: (2025)

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
par: Pavlov, Gorgi
Publié: (2026)

Wave-Attractor-Tree: A Hierarchical Binary Tree Reduction Architecture for Efficient Sequence Modeling
par: Berezkin, Igor
Publié: (2026)

Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models
par: Yang, Hong, et autres
Publié: (2026)

Multi-modal Transfer Learning between Biological Foundation Models
par: Garau-Luis, Juan Jose, et autres
Publié: (2024)

Automated Code Generation and Validation for Software Components of Microcontrollers
par: Haug, Sebastian, et autres
Publié: (2025)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
par: Brännvall, Rickard, et autres
Publié: (2023)

Fairness-Aware Federated Learning with Trajectory Shapley Value
par: Kuznetsov, Daniel, et autres
Publié: (2026)

Learning Latent Spaces for Domain Generalization in Time Series Forecasting
par: Deng, Songgaojun, et autres
Publié: (2024)

SplInterp: Improving our Understanding and Training of Sparse Autoencoders
par: Budd, Jeremy, et autres
Publié: (2025)

The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
par: Bastounis, Alexander, et autres
Publié: (2023)

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
par: Liu, Qiang, et autres
Publié: (2024)

Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
par: Frees, Daniel, et autres
Publié: (2024)

Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
par: Qin, Zhou, et autres
Publié: (2024)

Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
par: Chowdhury, Soutrik Roy
Publié: (2024)

BP(λ): Online Learning via Synthetic Gradients
par: Pemberton, Joseph, et autres
Publié: (2024)

Feature Learning Beyond the Edge of Stability
par: Terjék, Dávid
Publié: (2025)

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
par: Huang, Dunsheng, et autres
Publié: (2025)

A Teacher-Student Perspective on the Dynamics of Learning Near the Optimal Point
par: Couto, Carlos, et autres
Publié: (2025)

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
par: Tavakoli, Fatemeh, et autres
Publié: (2023)

Closed-Form Feedback-Free Learning with Forward Projection
par: O'Shea, Robert, et autres
Publié: (2025)

Markov Chain Estimation with In-Context Learning
par: Lepage, Simon, et autres
Publié: (2025)

Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
par: Quantiota, Bouarfa Mahi
Publié: (2025)

Flow matching on homogeneous spaces
par: Ruscelli, Francesco
Publié: (2026)

Iterative Orthogonalization Scaling Laws
par: Selvaraj, Devan
Publié: (2025)

MLPs at the EOC: Spectrum of the NTK
par: Terjék, Dávid, et autres
Publié: (2025)

Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
par: Nowacka, Anna, et autres
Publié: (2025)

The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
par: Chizat, Lénaïc, et autres
Publié: (2023)

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
par: Wenkel, Frederik, et autres
Publié: (2022)

Deep generative models as the probability transformation functions
par: Bondar, Vitalii, et autres
Publié: (2025)