Saved in:
| Main Authors: | Sun, Yuyang, Kosmas, Panagiotis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.04425 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Invasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization
by: Sun, Yuyang, et al.
Published: (2024)
by: Sun, Yuyang, et al.
Published: (2024)
Domain-randomized deep learning for neuroimage analysis
by: Hoffmann, Malte
Published: (2025)
by: Hoffmann, Malte
Published: (2025)
Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests in northeastern and southwestern China
by: Dong, Wenquan, et al.
Published: (2024)
by: Dong, Wenquan, et al.
Published: (2024)
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
by: Rangnekar, Aneesh, et al.
Published: (2025)
by: Rangnekar, Aneesh, et al.
Published: (2025)
Planted: a dataset for planted forest identification from multi-satellite time series
by: Pazos-Outón, Luis Miguel, et al.
Published: (2024)
by: Pazos-Outón, Luis Miguel, et al.
Published: (2024)
Meta Curvature-Aware Minimization for Domain Generalization
by: Chen, Ziyang, et al.
Published: (2024)
by: Chen, Ziyang, et al.
Published: (2024)
Bayesian meta-learning for modeling Alzheimer's disease progression
by: Hoffmann, Clara, et al.
Published: (2026)
by: Hoffmann, Clara, et al.
Published: (2026)
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
by: Wang, Yulin, et al.
Published: (2020)
by: Wang, Yulin, et al.
Published: (2020)
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
by: Upadhyay, Richa, et al.
Published: (2025)
by: Upadhyay, Richa, et al.
Published: (2025)
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
by: Hoang, Dung Anh, et al.
Published: (2022)
by: Hoang, Dung Anh, et al.
Published: (2022)
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping
by: Johnson, Lucas K., et al.
Published: (2024)
by: Johnson, Lucas K., et al.
Published: (2024)
Scalable deep fusion of spaceborne lidar and synthetic aperture radar for global forest structural complexity mapping
by: de Conto, Tiago, et al.
Published: (2025)
by: de Conto, Tiago, et al.
Published: (2025)
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2025)
by: Aqeel, Muhammad, et al.
Published: (2025)
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)
Random forest-based out-of-distribution detection for robust lung cancer segmentation
by: Rangnekar, Aneesh, et al.
Published: (2025)
by: Rangnekar, Aneesh, et al.
Published: (2025)
Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)
by: Wang, Jingyao, et al.
Published: (2023)
Rehearsal-free Federated Domain-incremental Learning
by: Sun, Rui, et al.
Published: (2024)
by: Sun, Rui, et al.
Published: (2024)
Adversarial Reweighting with $α$-Power Maximization for Domain Adaptation
by: Gu, Xiang, et al.
Published: (2024)
by: Gu, Xiang, et al.
Published: (2024)
Stochastic Transition-Map Distillation for Fast Probabilistic Inference
by: Rapakoulias, George, et al.
Published: (2026)
by: Rapakoulias, George, et al.
Published: (2026)
A Shift in Perspective on Causality in Domain Generalization
by: Machlanski, Damian, et al.
Published: (2025)
by: Machlanski, Damian, et al.
Published: (2025)
Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
by: Sun, Jun, et al.
Published: (2025)
by: Sun, Jun, et al.
Published: (2025)
Domain-Generalizable Multiple-Domain Clustering
by: Rozner, Amit, et al.
Published: (2023)
by: Rozner, Amit, et al.
Published: (2023)
On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation
by: Qiang, Wenwen, et al.
Published: (2025)
by: Qiang, Wenwen, et al.
Published: (2025)
MetaAug: Meta-Data Augmentation for Post-Training Quantization
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
by: Sun, Wenfang, et al.
Published: (2024)
by: Sun, Wenfang, et al.
Published: (2024)
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
by: Alexandridis, Konstantinos Panagiotis, et al.
Published: (2024)
by: Alexandridis, Konstantinos Panagiotis, et al.
Published: (2024)
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
by: Koromilas, Panagiotis, et al.
Published: (2026)
by: Koromilas, Panagiotis, et al.
Published: (2026)
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
by: Goswami, Dipam, et al.
Published: (2023)
by: Goswami, Dipam, et al.
Published: (2023)
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
by: Xue, Eric, et al.
Published: (2025)
by: Xue, Eric, et al.
Published: (2025)
TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting
by: Tan, Yuyang, et al.
Published: (2026)
by: Tan, Yuyang, et al.
Published: (2026)
Meta ControlNet: Enhancing Task Adaptation via Meta Learning
by: Yang, Junjie, et al.
Published: (2023)
by: Yang, Junjie, et al.
Published: (2023)
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
by: Koromilas, Panagiotis, et al.
Published: (2024)
by: Koromilas, Panagiotis, et al.
Published: (2024)
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization
by: Kim, Han-Byul, et al.
Published: (2023)
by: Kim, Han-Byul, et al.
Published: (2023)
GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning
by: Peng, Tiantian, et al.
Published: (2025)
by: Peng, Tiantian, et al.
Published: (2025)
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
by: Zhang, Ruipeng, et al.
Published: (2024)
by: Zhang, Ruipeng, et al.
Published: (2024)
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
by: Wei, Tianxin, et al.
Published: (2025)
by: Wei, Tianxin, et al.
Published: (2025)
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
by: Peng, Shi-Feng, et al.
Published: (2024)
by: Peng, Shi-Feng, et al.
Published: (2024)
Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
by: Nasios, Ioannis
Published: (2025)
by: Nasios, Ioannis
Published: (2025)
Context-Aware Meta-Learning
by: Fifty, Christopher, et al.
Published: (2023)
by: Fifty, Christopher, et al.
Published: (2023)
Similar Items
-
Non-Invasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization
by: Sun, Yuyang, et al.
Published: (2024) -
Domain-randomized deep learning for neuroimage analysis
by: Hoffmann, Malte
Published: (2025) -
Comparing remote sensing-based forest biomass mapping approaches using new forest inventory plots in contrasting forests in northeastern and southwestern China
by: Dong, Wenquan, et al.
Published: (2024) -
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
by: Rangnekar, Aneesh, et al.
Published: (2025) -
Planted: a dataset for planted forest identification from multi-satellite time series
by: Pazos-Outón, Luis Miguel, et al.
Published: (2024)