Cover Image

Discriminative Representation Learning for Clinical Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yang, Fan, Li, Lawrence, Samuel, Li, Shi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Clinical Representations Under Systematic Distribution Shift
by: Zhang, Yuanyun, et al.
Published: (2026)

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
by: Wang, Bokun, et al.
Published: (2024)

High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
by: Chen, Elynn, et al.
Published: (2025)

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records
by: Dong, Ruan, et al.
Published: (2026)

Anchor-guided Hypergraph Condensation with Dual-level Discrimination
by: Li, Fan, et al.
Published: (2026)

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models
by: Zhang, Yuanyun, et al.
Published: (2026)

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
by: Luo, Fan-Ming, et al.
Published: (2022)

Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
by: Belenguer-Llorens, Albert, et al.
Published: (2025)

Masked Face Recognition with Generative-to-Discriminative Representations
by: Ge, Shiming, et al.
Published: (2024)

Semantic-based Distributed Learning for Diverse and Discriminative Representations
by: Tian, Zhuojun, et al.
Published: (2026)

Learning Longitudinal Health Representations from EHR and Wearable Data
by: Zhang, Yuanyun, et al.
Published: (2026)

Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
by: Zhang, Jiaxin, et al.
Published: (2024)

Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
by: Wang, Min, et al.
Published: (2025)

Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
by: Yao, Zhihao
Published: (2025)

Dual-Modality Representation Learning for Molecular Property Prediction
by: Zhao, Anyin, et al.
Published: (2025)

Multimodal Learning for Embryo Viability Prediction in Clinical IVF
by: Kim, Junsik, et al.
Published: (2024)

Graph-level Representation Learning with Joint-Embedding Predictive Architectures
by: Skenderi, Geri, et al.
Published: (2023)

Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints
by: Yang, Yiyao
Published: (2026)

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
by: Wang, Peng, et al.
Published: (2023)

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement
by: Wang, Tong, et al.
Published: (2026)

Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
by: Tang, Zhihao, et al.
Published: (2025)

Language-Enhanced Representation Learning for Single-Cell Transcriptomics
by: Shi, Yaorui, et al.
Published: (2025)

Instance Discrimination for Link Prediction
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
by: Sun, Li, et al.
Published: (2025)

Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference
by: Cheng, Wei, et al.
Published: (2024)

Implicit Bias in Deep Linear Discriminant Analysis
by: Li, Jiawen
Published: (2026)

Causal Temporal Representation Learning with Nonstationary Sparse Transition
by: Song, Xiangchen, et al.
Published: (2024)

Uncertainty-Aware Foundation Models for Clinical Data
by: Zhou, Qian, et al.
Published: (2026)

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
by: Zhang, Wanpeng, et al.
Published: (2023)

Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning
by: Bian, Yuxuan, et al.
Published: (2024)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
by: Zhang, Tianyi, et al.
Published: (2023)

Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
by: Mao, Hongxi, et al.
Published: (2026)

GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
by: Fan, Kaizhe, et al.
Published: (2024)

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
by: Huang, Ruiquan, et al.
Published: (2023)

Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning
by: Zhang, Leiji, et al.
Published: (2025)

PEARL: Performance-Enhanced Aggregated Representation Learning
by: Li, Wenhui, et al.
Published: (2025)

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
by: Zhang, Hongliang, et al.
Published: (2024)

Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction
by: Wang, Ziliang, et al.
Published: (2023)

Price-Discrimination Game for Distributed Resource Management in Federated Learning
by: Zhang, Han, et al.
Published: (2023)