Image de couverture de livre

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Topollai, Kristi, Choromanska, Anna
Format:	Preprint
Publié:	2025
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

Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization
par: Topollai, Kristi, et autres
Publié: (2025)

Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
par: Topollai, Kristi, et autres
Publié: (2026)

Worker Disagreement Reveals Sharp Directions in Local SGD
par: Dimlioglu, Tolga, et autres
Publié: (2026)

Outer-Momentum Restarting in High-Dimensional Two-Phase Optimization
par: Topollai, Kristi, et autres
Publié: (2026)

OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction
par: Hemadri, Raghu Vamshi, et autres
Publié: (2025)

Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
par: Zhu, Haoran, et autres
Publié: (2025)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
par: Kang, Suhyun, et autres
Publié: (2024)

TAME: Task Agnostic Continual Learning using Multiple Experts
par: Zhu, Haoran, et autres
Publié: (2022)

Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
par: Naeinian, Fatemeh, et autres
Publié: (2026)

Streamlining Industrial Contract Management with Retrieval-Augmented LLMs
par: Topollai, Kristi, et autres
Publié: (2025)

Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
par: Dimlioglu, Tolga, et autres
Publié: (2025)

GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
par: Dimlioglu, Tolga, et autres
Publié: (2024)

MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition
par: Xu, Dongwei, et autres
Publié: (2025)

Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
par: Paeedeh, Naeem, et autres
Publié: (2024)

Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
par: Yeh, Jia-Fong, et autres
Publié: (2020)

Adjacent Leader Decentralized Stochastic Gradient Descent
par: He, Haoze, et autres
Publié: (2024)

A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization
par: Wang, Jing, et autres
Publié: (2025)

Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
par: Sgouropoulos, Christos, et autres
Publié: (2025)

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
par: Röder, Manuel, et autres
Publié: (2025)

BECLR: Batch Enhanced Contrastive Few-Shot Learning
par: Poulakakis-Daktylidis, Stylianos, et autres
Publié: (2024)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
par: Paeedeh, Naeem, et autres
Publié: (2025)

LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
par: Ravichandran, Bharadwaj, et autres
Publié: (2024)

Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
par: Zhao, Guanqun, et autres
Publié: (2026)

FewUser: Few-Shot Social User Geolocation via Contrastive Learning
par: Li, Menglin, et autres
Publié: (2024)

MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
par: Gera, Parush, et autres
Publié: (2025)

SRasP: Self-Reorientation Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
par: Li, Wenqian, et autres
Publié: (2026)

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
par: Li, Wenqian, et autres
Publié: (2024)

LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
par: Wang, Peng, et autres
Publié: (2025)

Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
par: Kumar, Saurabh, et autres
Publié: (2025)

Few-Shot Task Learning through Inverse Generative Modeling
par: Netanyahu, Aviv, et autres
Publié: (2024)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
par: Tong, Jintao, et autres
Publié: (2025)

Meta-Learning Based Few-Shot Graph-Level Anomaly Detection
par: Li, Liting, et autres
Publié: (2025)

A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
par: Gajic, Andrea, et autres
Publié: (2025)

Few-Shot Inspired Generative Zero-Shot Learning
par: Shohag, Md Shakil Ahamed, et autres
Publié: (2025)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
par: Paeedeh, Naeem, et autres
Publié: (2026)

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
par: Peng, Shi-Feng, et autres
Publié: (2024)

Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
par: Rostami, Mohammad, et autres
Publié: (2024)

Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
par: Guan, Yunchuan, et autres
Publié: (2024)

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
par: Tong, Jintao, et autres
Publié: (2025)

Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
par: Hu, Minyang, et autres
Publié: (2024)