:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shahbazi, Shermin, Mohammadi, Hossein, Afsharchi, Mohsen
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence 68T05 I.2.6; I.5.1
Acceso en línea:	https://arxiv.org/abs/2606.01221
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Label Smoothing is a Pragmatic Information Bottleneck
por: Kudo, Sota
Publicado: (2025)

Neural Velocity for hyperparameter tuning
por: Dalmasso, Gianluca, et al.
Publicado: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
por: Mukherjee, Debdeep, et al.
Publicado: (2025)

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
por: López, Francisco, et al.
Publicado: (2025)

On the Equivalence of Regression and Classification
por: Jayadeva, et al.
Publicado: (2025)

Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
por: Du, Wenzhang
Publicado: (2025)

Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
por: Di Santi, Eduardo, et al.
Publicado: (2025)

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
por: Abedinia, Aydin, et al.
Publicado: (2025)

GraphNNK -- Graph Classification and Interpretability
por: Bolevic, Zeljko, et al.
Publicado: (2026)

Measuring Intent Comprehension in LLMs
por: Kunievsky, Nadav, et al.
Publicado: (2025)

On Divergence Measures for Training GFlowNets
por: da Silva, Tiago, et al.
Publicado: (2024)

torchsom: The Reference PyTorch Library for Self-Organizing Maps
por: Berthier, Louis, et al.
Publicado: (2025)

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
por: Loza, Andrew J., et al.
Publicado: (2025)

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
por: Mysore, Naveen
Publicado: (2026)

Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
por: Alnemari, Mohammed, et al.
Publicado: (2026)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
por: Abdelhamid, Mohamed, et al.
Publicado: (2024)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
por: Wang, Yin, et al.
Publicado: (2025)

Tricks and Plug-ins for Gradient Boosting in Image Classification
por: Fang, Biyi, et al.
Publicado: (2025)

A Comparative Study of Feature Selection in Tsetlin Machines
por: Halenka, Vojtech, et al.
Publicado: (2025)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
por: Du, Wenzhang
Publicado: (2025)

GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
por: Fanale, Raimondo
Publicado: (2026)

Lightweight Defense Against Adversarial Attacks in Time Series Classification
por: Han, Yi
Publicado: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
por: K, Prasanth K, et al.
Publicado: (2025)

Predicting Microbial Interactions Using Graph Neural Networks
por: Gholamzadeh, Elham, et al.
Publicado: (2025)

CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
por: Cheohen, Caio, et al.
Publicado: (2025)

Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
por: Dai, Yanning, et al.
Publicado: (2026)

Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
por: Nowotny, Thomas, et al.
Publicado: (2022)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
por: Li, Tianle, et al.
Publicado: (2025)

NPO: Learning Alignment and Meta-Alignment through Structured Human Feedback
por: Gaikwad, Madhava, et al.
Publicado: (2025)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
por: Kinjo, Keita
Publicado: (2025)

A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations
por: Rahimiasl, Mohammadmahdi, et al.
Publicado: (2025)

iLTM: Integrated Large Tabular Model
por: Bonet, David, et al.
Publicado: (2025)

EmbeddedML: A New Optimized and Fast Machine Learning Library
por: Çalışkan, Halil Hüseyin, et al.
Publicado: (2025)

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
por: Ennadir, Sofiane, et al.
Publicado: (2024)

Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
por: Inoue, Patrick, et al.
Publicado: (2026)

PolyGLU: State-Conditional Activation Routing in Transformer Feed-Forward Networks
por: Medeiros, Daniel Nobrega
Publicado: (2026)

Revisiting GAN with Bayes-Optimal Discrimination
por: Naeini, Mohammadreza Tavasoli, et al.
Publicado: (2025)

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
por: Lau, Matthew, et al.
Publicado: (2023)

Hallucinations Live in Variance
por: Flouro, Aaron R., et al.
Publicado: (2026)

Scalable Nested Optimization for Deep Learning
por: Lorraine, Jonathan
Publicado: (2024)