Copertina

Maximizing Information in Domain-Invariant Representation Improves Transfer Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Adrian Shuai, Bertino, Elisa, Dang, Xuan-Hong, Singla, Ankush, Tu, Yuhai, Wegman, Mark N
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
di: Yang, Hao-Ran, et al.
Pubblicazione: (2024)

Diabetic Retinopathy Detection Using Quantum Transfer Learning
di: Jain, Ankush, et al.
Pubblicazione: (2024)

Time2General: Learning Spatiotemporal Invariant Representations for Domain-Generalization Video Semantic Segmentation
di: Chen, Siyu, et al.
Pubblicazione: (2026)

Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning
di: Niu, Chuang, et al.
Pubblicazione: (2025)

Advanced Machine Learning Approaches for Enhancing Person Re-Identification Performance
di: Pham, Dang H., et al.
Pubblicazione: (2026)

Invariant Shape Representation Learning For Image Classification
di: Hossain, Tonmoy, et al.
Pubblicazione: (2024)

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
di: Fillioux, Leo, et al.
Pubblicazione: (2026)

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization
di: Ma, Jiawei, et al.
Pubblicazione: (2024)

Dynamic Token Selection for Aerial-Ground Person Re-Identification
di: Wang, Yuhai, et al.
Pubblicazione: (2024)

Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
di: Xu, Huali, et al.
Pubblicazione: (2024)

Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
di: Wei, Yikang
Pubblicazione: (2025)

DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization
di: Yang, Juncheng, et al.
Pubblicazione: (2024)

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
di: Yi, Shuai, et al.
Pubblicazione: (2026)

MAD: Makeup All-in-One with Cross-Domain Diffusion Model
di: Ruan, Bo-Kai, et al.
Pubblicazione: (2025)

Solar potential analysis over Indian cities using high-resolution satellite imagery and DEM
di: Singla, Jai
Pubblicazione: (2024)

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset
di: Deng, Yuhai, et al.
Pubblicazione: (2026)

Spectral State Space Model for Rotation-Invariant Visual Representation Learning
di: Dastani, Sahar, et al.
Pubblicazione: (2025)

Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
di: Wei, Yana, et al.
Pubblicazione: (2025)

Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer
di: Satyanaik, Siddhant, et al.
Pubblicazione: (2024)

Improving Adversarial Transferability with Neighbourhood Gradient Information
di: Guo, Haijing, et al.
Pubblicazione: (2024)

Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
di: Li, Yuke, et al.
Pubblicazione: (2024)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
di: Vo, Hung Q., et al.
Pubblicazione: (2025)

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation
di: Tao, Chaofan, et al.
Pubblicazione: (2019)

Source-Free Domain-Invariant Performance Prediction
di: Khramtsova, Ekaterina, et al.
Pubblicazione: (2024)

Disentangled Representation Learning with Transmitted Information Bottleneck
di: Dang, Zhuohang, et al.
Pubblicazione: (2023)

Multimodal Graph Representation Learning with Dynamic Information Pathways
di: Hong, Xiaobin, et al.
Pubblicazione: (2026)

Domain-Invariant Prompt Learning for Vision-Language Models
di: Khoee, Arsham Gholamzadeh, et al.
Pubblicazione: (2026)

WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain Shift
di: Santamaria, Julian D., et al.
Pubblicazione: (2026)

Unsupervised View-Invariant Human Posture Representation
di: Sardari, Faegheh, et al.
Pubblicazione: (2021)

Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
di: Wu, Zhize, et al.
Pubblicazione: (2022)

Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning
di: Singla, Jai G, et al.
Pubblicazione: (2024)

Heterogeneous Face Recognition Using Domain Invariant Units
di: George, Anjith, et al.
Pubblicazione: (2024)

Selective Domain-Invariant Feature for Generalizable Deepfake Detection
di: Lai, Yingxin, et al.
Pubblicazione: (2024)

Population estimation using 3D city modelling and Carto2S datasets -- A case study
di: Singla, Jai G
Pubblicazione: (2024)

Probabilistic Contrastive Learning for Domain Adaptation
di: Li, Junjie, et al.
Pubblicazione: (2021)

CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
di: Liang, Yue, et al.
Pubblicazione: (2026)

VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
di: Park, Juhye, et al.
Pubblicazione: (2026)

VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization
di: Li, Mingxiao, et al.
Pubblicazione: (2025)

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs
di: Zaazou, Youssef, et al.
Pubblicazione: (2026)

Learning Mask Invariant Mutual Information for Masked Image Modeling
di: Huang, Tao, et al.
Pubblicazione: (2025)