Cover Image

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lalou, Yanis, Gnassounou, Théo, Collas, Antoine, de Mathelin, Antoine, Kachaiev, Oleksii, Odonnat, Ambroise, Gramfort, Alexandre, Moreau, Thomas, Flamary, Rémi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PSDNorm: Test-Time Temporal Normalization for Deep Learning in Sleep Staging
by: Gnassounou, Théo, et al.
Published: (2025)

Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
by: Gnassounou, Théo, et al.
Published: (2024)

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
by: Collas, Antoine, et al.
Published: (2024)

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
by: Mellot, Apolline, et al.
Published: (2024)

Geodesic Optimization for Predictive Shift Adaptation on EEG data
by: Mellot, Apolline, et al.
Published: (2024)

Unsupervised Domain Adaptation for Constraining Star Formation Histories
by: Gilda, Sankalp, et al.
Published: (2021)

Learning to Embed Distributions via Maximum Kernel Entropy
by: Kachaiev, Oleksii, et al.
Published: (2024)

Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
by: Odonnat, Ambroise, et al.
Published: (2023)

MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
by: Heurtebise, Ambroise, et al.
Published: (2025)

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
by: Mazelet, Sonia, et al.
Published: (2025)

Clustering Head: A Visual Case Study of the Training Dynamics in Transformers
by: Odonnat, Ambroise, et al.
Published: (2024)

Optimal Self-Consistency for Efficient Reasoning with Large Language Models
by: Feng, Austin, et al.
Published: (2025)

Easing Optimization Paths: a Circuit Perspective
by: Odonnat, Ambroise, et al.
Published: (2025)

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
by: Xie, Renchunzi, et al.
Published: (2024)

MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
by: Xie, Renchunzi, et al.
Published: (2024)

Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
by: Heurtebise, Ambroise, et al.
Published: (2025)

Extension of the a posteriori finite element method (APFEM) to geometrical alterations and application to stochastic homogenisation
by: Yanis Ammouche, et al.
Published: (2024)

Empirically Calibrated Conditional Independence Tests
by: Pan, Milleno, et al.
Published: (2026)

Addressing the Cold-Start Problem for Personalized Combination Drug Screening
by: de Mathelin, Antoine, et al.
Published: (2025)

Provable Benefits of In-Tool Learning for Large Language Models
by: Houliston, Sam, et al.
Published: (2025)

Vision Transformer Finetuning Benefits from Non-Smooth Components
by: Odonnat, Ambroise, et al.
Published: (2026)

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
by: Collas, Antoine, et al.
Published: (2025)

Properties of Discrete Sliced Wasserstein Losses
by: Tanguy, Eloi, et al.
Published: (2023)

Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance
by: Tanguy, Eloi, et al.
Published: (2023)

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
by: de Mathelin, Antoine, et al.
Published: (2023)

Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
by: Coiffard, Lisa, et al.
Published: (2025)

Layer by layer, module by module: Choose both for optimal OOD probing of ViT
by: Odonnat, Ambroise, et al.
Published: (2026)

Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
by: Paillard, Joseph, et al.
Published: (2025)

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
by: Li, Xinyao, et al.
Published: (2024)

Leveraging Generic Time Series Foundation Models for EEG Classification
by: Gnassounou, Théo, et al.
Published: (2025)

A Dichotomy Theorem for Automatic Structures
by: Cuvelier, Antoine, et al.
Published: (2026)

Large Language Models as Markov Chains
by: Zekri, Oussama, et al.
Published: (2024)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
by: Yang, Jiawen, et al.
Published: (2025)

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
by: Labrak, Yanis, et al.
Published: (2024)

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
by: de Mathelin, Antoine, et al.
Published: (2025)

Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation
by: Ye, Ziyu, et al.
Published: (2025)

Cross-View Cross-Modal Unsupervised Domain Adaptation for Driver Monitoring System
by: Bhalla, Aditi, et al.
Published: (2025)

Anabelian perspectives in Galois-Teichmüller theory
by: Collas, Benjamin
Published: (2026)

A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
by: Germain, Thibaut, et al.
Published: (2025)

A barycenter-based approach for the multi-model ensembling of subseasonal forecasts
by: Coz, Camille Le, et al.
Published: (2023)