Image de couverture de livre

Domain Adaptation with Cauchy-Schwarz Divergence

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yin, Wenzhe, Yu, Shujian, Lin, Yicong, Liu, Jie, Sonke, Jan-Jakob, Gavves, Efstratios
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
par: Yin, Wenzhe, et autres
Publié: (2025)

Towards Uniformity and Alignment for Multimodal Representation Learning
par: Yin, Wenzhe, et autres
Publié: (2026)

Cross-Modal Retrieval with Cauchy-Schwarz Divergence
par: Zhang, Jiahao, et autres
Publié: (2025)

Cauchy-Schwarz Divergence Information Bottleneck for Regression
par: Yu, Shujian, et autres
Publié: (2024)

Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
par: Lu, Mingfei, et autres
Publié: (2024)

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
par: Yu, Shujian, et autres
Publié: (2023)

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
par: Liu, Jie, et autres
Publié: (2024)

Geometric Neural Process Fields
par: Yin, Wenzhe, et autres
Publié: (2025)

When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
par: Wu, Jinzhou, et autres
Publié: (2025)

Cauchy-Schwarz Fairness Regularizer
par: Liu, Yezi, et autres
Publié: (2025)

Physics-Guided Radiotherapy Treatment Planning with Deep Learning
par: Achlatis, Stefanos, et autres
Publié: (2025)

Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
par: Egorov, Evgenii, et autres
Publié: (2024)

Mechanistic PDE Networks for Discovery of Governing Equations
par: Pervez, Adeel, et autres
Publié: (2025)

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
par: Liu, Jie, et autres
Publié: (2025)

Cauchy-Schwarz Regularizers
par: Taner, Sueda, et autres
Publié: (2025)

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
par: Kofinas, Miltiadis, et autres
Publié: (2024)

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
par: Kofinas, Miltiadis, et autres
Publié: (2021)

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
par: Knigge, David M., et autres
Publié: (2024)

Mechanistic Neural Networks for Scientific Machine Learning
par: Pervez, Adeel, et autres
Publié: (2024)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
par: Liu, Jie, et autres
Publié: (2025)

Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
par: Kofinas, Miltiadis, et autres
Publié: (2023)

Superposition as Lossy Compression: Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability
par: Bereska, Leonard, et autres
Publié: (2025)

Amortized Equation Discovery in Hybrid Dynamical Systems
par: Liu, Yongtuo, et autres
Publié: (2024)

Any-Resolution AI-Generated Image Detection by Spectral Learning
par: Karageorgiou, Dimitrios, et autres
Publié: (2024)

Language Agents Meet Causality -- Bridging LLMs and Causal World Models
par: Gkountouras, John, et autres
Publié: (2024)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
par: Spartalis, Christoforos N., et autres
Publié: (2025)

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
par: Spartalis, Christoforos N., et autres
Publié: (2025)

From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation
par: Wang, Yongqi, et autres
Publié: (2026)

On $f$-Divergence Principled Domain Adaptation: An Improved Framework
par: Wang, Ziqiao, et autres
Publié: (2024)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
par: Didolkar, Aniket, et autres
Publié: (2025)

Explainable Multimodal Regression via Information Decomposition
par: Ma, Zhaozhao, et autres
Publié: (2025)

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2026)

InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
par: Tang, Shiqin, et autres
Publié: (2025)

Reinforced Domain Selection for Continuous Domain Adaptation
par: Liu, Hanbing, et autres
Publié: (2025)

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2026)

Effects of Prompt Length on Domain-specific Tasks for Large Language Models
par: Liu, Qibang, et autres
Publié: (2025)

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
par: Zhang, Kunyu, et autres
Publié: (2025)

Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
par: Jeeveswaran, Kishaan, et autres
Publié: (2024)

On the connection between Noise-Contrastive Estimation and Contrastive Divergence
par: Olmin, Amanda, et autres
Publié: (2024)

Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension
par: Palias, Efstratios, et autres
Publié: (2023)