:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Bo, Zhang, Wenbo, LI, Yunpeng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.01967
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
by: Sadikine, Amine, et al.
Published: (2024)

Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction
by: Seol, Youngjin, et al.
Published: (2024)

Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
by: Cheung, Wing Keung, et al.
Published: (2023)

Physical formula enhanced multi-task learning for pharmacokinetics prediction
by: Li, Ruifeng, et al.
Published: (2024)

Deep learning-based pavement performance modeling using multiple distress indicators and road work history
by: Gao, Lu, et al.
Published: (2026)

VisionScores -- A system-segmented image score dataset for deep learning tasks
by: Amezcua, Alejandro Romero, et al.
Published: (2025)

Regularising NARX models with multi-task learning
by: Bee, Sarah, et al.
Published: (2025)

SeisT: A foundational deep learning model for earthquake monitoring tasks
by: Li, Sen, et al.
Published: (2023)

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
by: Bu, Zhiqi, et al.
Published: (2024)

Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
by: Pednekar, Amrapali, et al.
Published: (2025)

A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
by: Raihan, Mohon, et al.
Published: (2025)

A representation-learning game for classes of prediction tasks
by: Uzan, Neria, et al.
Published: (2024)

Automatic driving lane change safety prediction model based on LSTM
by: Sun, Wenjian, et al.
Published: (2024)

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
by: Nahhas, Omar S. M. El, et al.
Published: (2024)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)

Mockingbird: How does LLM perform in general machine learning tasks?
by: Jia, Haoyu, et al.
Published: (2025)

Joint auto-encoders: a flexible multi-task learning framework
by: Epstein, Baruch, et al.
Published: (2017)

Quantile deep learning models for multi-step ahead time series prediction
by: Cheung, Jimmy, et al.
Published: (2024)

A SHAP-based explainable multi-level stacking ensemble learning method for predicting the length of stay in acute stroke
by: Xu, Zhenran
Published: (2025)

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
by: Zhang, Yixin, et al.
Published: (2024)

Multi-task deep-learning for sleep event detection and stage classification
by: Anido-Alonso, Adriana, et al.
Published: (2025)

DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
by: Alisjahbana, Irene, et al.
Published: (2024)

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
by: Krones, Felix H., et al.
Published: (2024)

Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
by: Minh, Nguyen Anh, et al.
Published: (2024)

A deep learning framework for glomeruli segmentation with boundary attention
by: Elhaminia, Behnaz, et al.
Published: (2026)

Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
by: Lippl, Samuel, et al.
Published: (2023)

Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
by: Mirbakhsh, Shahin, et al.
Published: (2024)

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
by: Bench, Ciaran, et al.
Published: (2025)

Optimizing accuracy and diversity: a multi-task approach to forecast combinations
by: Felici, Giovanni, et al.
Published: (2023)

Accurate RNA 3D structure prediction using a language model-based deep learning approach
by: Shen, Tao, et al.
Published: (2022)

Molecular topological deep learning for polymer property prediction
by: Shen, Cong, et al.
Published: (2024)

Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach
by: Wang, Ting, et al.
Published: (2024)

Comparison of deep learning and conventional methods for disease onset prediction
by: John, Luis H., et al.
Published: (2024)

Winner-Take-All bottlenecks enforce disentangled symbolic representations in multi-task learning
by: Gutheil, Julian, et al.
Published: (2026)

Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans
by: Hryniewska-Guzik, Weronika, et al.
Published: (2023)

Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification
by: Kao, Jyun-Ping, et al.
Published: (2026)

Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
by: Dai, Wenfeng, et al.
Published: (2025)

Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
by: Mei, Taiyuan, et al.
Published: (2024)

Review of deep learning models for crypto price prediction: implementation and evaluation
by: Wu, Jingyang, et al.
Published: (2024)

On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasks
by: Pernot, Pascal
Published: (2024)