:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.21286
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
by: Liang, Chen, et al.
Published: (2023)

Better Prompt Compression Without Multi-Layer Perceptrons
by: Honig, Edouardo, et al.
Published: (2025)

Training Single-Layer Morphological Perceptron Using Convex-Concave Programming
by: Cunha, Iara, et al.
Published: (2024)

Training-free Heterogeneous Graph Condensation via Data Selection
by: Liang, Yuxuan, et al.
Published: (2024)

Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring
by: Fiocchi, Filippo, et al.
Published: (2024)

Morphological Perceptron with Competitive Layer: Training Using Convex-Concave Procedure
by: Cunha, Iara, et al.
Published: (2025)

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
by: Li, Boyan, et al.
Published: (2023)

T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation
by: Yang, Chuanxiang, et al.
Published: (2025)

From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons
by: Chu, Yi-Shan, et al.
Published: (2025)

Plateaus, Optima, and Overfitting in Multi-Layer Perceptrons: A Saddle-Saddle-Attractor Scenario
by: Maleknia, Alex Alì, et al.
Published: (2026)

Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping
by: Jamali, Ali, et al.
Published: (2023)

Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
by: Fong, David, et al.
Published: (2024)

Nearly Optimal Bayesian Inference for Structural Missingness
by: Liang, Chen, et al.
Published: (2026)

Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
by: Gaonkar, Aradhya, et al.
Published: (2026)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Gold Price Prediction Using Long Short-Term Memory and Multi-Layer Perceptron with Gray Wolf Optimizer
by: Taghipour, Hesam, et al.
Published: (2025)

FedST: Secure Federated Shapelet Transformation for Time Series Classification
by: Liang, Zhiyu, et al.
Published: (2023)

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
by: Chen, Guanyu, et al.
Published: (2026)

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs
by: Chen, Zhengyu, et al.
Published: (2025)

[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons
by: Ebrahimi, Sana, et al.
Published: (2023)

RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling
by: Yang, Haoran, et al.
Published: (2025)

An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
by: Woo, Hyenkyun
Published: (2023)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets
by: Liu, Wenjie, et al.
Published: (2023)

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
by: Chen, Pengyu, et al.
Published: (2026)

More Consideration for the Perceptron
by: Larabi, Slimane
Published: (2024)

Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons
by: Pourkamali-Anaraki, Farhad
Published: (2024)

FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain
by: Li, Zhengnan, et al.
Published: (2024)

Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
by: Ali, Majid, et al.
Published: (2024)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
by: Tran, Hung Vinh, et al.
Published: (2026)

BOSE: A Systematic Evaluation Method Optimized for Base Models
by: Luan, Hongzhi, et al.
Published: (2025)

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
by: Xing, Xiaobo, et al.
Published: (2025)

Observationally Informed Adaptive Causal Experimental Design
by: Gao, Erdun, et al.
Published: (2026)

Penalty Learning for Optimal Partitioning using Multilayer Perceptron
by: Nguyen, Tung L, et al.
Published: (2024)

Deep Neural Network-Driven Adaptive Filtering
by: Wang, Qizhen, et al.
Published: (2025)

Simple Full-Spectrum Correlated k-Distribution Model based on Multilayer Perceptron
by: Wang, Xin, et al.
Published: (2024)

A Comprehensive Survey on Imbalanced Data Learning
by: Gao, Xinyi, et al.
Published: (2025)