Saved in:
| Main Authors: | Song, Steven, Sethi, Sahil, Beaulieu-Jones, Brett, Grossman, Robert L. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.06943 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs
by: Sethi, Sahil, et al.
Published: (2025)
by: Sethi, Sahil, et al.
Published: (2025)
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
by: Sethi, Sahil, et al.
Published: (2025)
by: Sethi, Sahil, et al.
Published: (2025)
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025)
by: Małkus, Bartłomiej, et al.
Published: (2025)
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025)
by: Peng, Ziheng, et al.
Published: (2025)
Unlabeled Data vs. Pre-trained Knowledge: Rethinking SSL in the Era of Large Models
by: Lv, Song-Lin, et al.
Published: (2025)
by: Lv, Song-Lin, et al.
Published: (2025)
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Multi-Stage Prototype Learning for Interpretable Time Series Classification
by: Kalisetti, Bhavesh, et al.
Published: (2021)
by: Kalisetti, Bhavesh, et al.
Published: (2021)
ProtoTTA: Prototype-Guided Test-Time Adaptation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2026)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2026)
ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography
by: Ghamary, Yeganeh, et al.
Published: (2025)
by: Ghamary, Yeganeh, et al.
Published: (2025)
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
by: Donnelly, Jon, et al.
Published: (2021)
by: Donnelly, Jon, et al.
Published: (2021)
SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
by: Chowdhury, Meghna Roy, et al.
Published: (2025)
A neural recommender system leveraging transfer learning for property prediction of ionic liquids
by: Sethi, Sahil, et al.
Published: (2025)
by: Sethi, Sahil, et al.
Published: (2025)
Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
by: Ma, Shijie, et al.
Published: (2025)
by: Ma, Shijie, et al.
Published: (2025)
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
by: Cai, Zi, et al.
Published: (2025)
by: Cai, Zi, et al.
Published: (2025)
ProtoSnap: Prototype Alignment for Cuneiform Signs
by: Mikulinsky, Rachel, et al.
Published: (2025)
by: Mikulinsky, Rachel, et al.
Published: (2025)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
by: Song, Xianhao, et al.
Published: (2026)
by: Song, Xianhao, et al.
Published: (2026)
TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments
by: Lee, Gyuejeong, et al.
Published: (2025)
by: Lee, Gyuejeong, et al.
Published: (2025)
ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
by: Licht, Martin, et al.
Published: (2025)
by: Licht, Martin, et al.
Published: (2025)
Applications of Positive Unlabeled (PU) and Negative Unlabeled (NU) Learning in Cybersecurity
by: Dilworth, Robert, et al.
Published: (2024)
by: Dilworth, Robert, et al.
Published: (2024)
Multimodal Cancer Modeling in the Age of Foundation Model Embeddings
by: Song, Steven, et al.
Published: (2025)
by: Song, Steven, et al.
Published: (2025)
RefProtoFL: Communication-Efficient Federated Learning via External-Referenced Prototype Alignment
by: Wu, Hongyue, et al.
Published: (2026)
by: Wu, Hongyue, et al.
Published: (2026)
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
by: Jiang, Xiangjian, et al.
Published: (2023)
by: Jiang, Xiangjian, et al.
Published: (2023)
Learning from Uncertain Similarity and Unlabeled Data
by: Wei, Meng, et al.
Published: (2025)
by: Wei, Meng, et al.
Published: (2025)
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
by: Subramanyam, Anirudh, et al.
Published: (2025)
by: Subramanyam, Anirudh, et al.
Published: (2025)
Interpreting Outliers in Time Series Data through Decoding Autoencoder
by: Knab, Patrick, et al.
Published: (2024)
by: Knab, Patrick, et al.
Published: (2024)
ProtoP-OD: Explainable Object Detection with Prototypical Parts
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
Offline Reinforcement Learning with Domain-Unlabeled Data
by: Nishimori, Soichiro, et al.
Published: (2024)
by: Nishimori, Soichiro, et al.
Published: (2024)
From Confusion to Clarity: ProtoScore -- A Framework for Evaluating Prototype-Based XAI
by: Monke, Helena, et al.
Published: (2025)
by: Monke, Helena, et al.
Published: (2025)
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
by: Yu, Zhihao, et al.
Published: (2024)
by: Yu, Zhihao, et al.
Published: (2024)
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
by: Santos, Iury B. de A., et al.
Published: (2024)
by: Santos, Iury B. de A., et al.
Published: (2024)
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
by: Yu, Bing, et al.
Published: (2020)
by: Yu, Bing, et al.
Published: (2020)
Empowering Time Series Analysis with Large Language Models: A Survey
by: Jiang, Yushan, et al.
Published: (2024)
by: Jiang, Yushan, et al.
Published: (2024)
Positive-Unlabelled Active Learning to Curate a Dataset for Orca Resident Interpretation
by: Nestor, Bret, et al.
Published: (2026)
by: Nestor, Bret, et al.
Published: (2026)
Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
by: Gu, Yuliang, et al.
Published: (2024)
by: Gu, Yuliang, et al.
Published: (2024)
A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
by: Caldas, Francisco, et al.
Published: (2026)
by: Caldas, Francisco, et al.
Published: (2026)
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)
by: Takahashi, Hiroshi, et al.
Published: (2024)
Similar Items
-
Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs
by: Sethi, Sahil, et al.
Published: (2025) -
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
by: Sethi, Sahil, et al.
Published: (2025) -
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025) -
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025) -
Unlabeled Data vs. Pre-trained Knowledge: Rethinking SSL in the Era of Large Models
by: Lv, Song-Lin, et al.
Published: (2025)