Copertina

Integer-Only Operations on Extreme Learning Machine Test Time Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Machadoa, Emerson Lopes, Miosso, Cristiano Jacques, Jacobi, Ricardo Pezzuol
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
di: Sassoon, Jordan, et al.
Pubblicazione: (2025)

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification
di: Melo, Thamara Leandra de Deus, et al.
Pubblicazione: (2026)

Multi-Head Encoding for Extreme Label Classification
di: Liang, Daojun, et al.
Pubblicazione: (2024)

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
di: Sharshar, Ahmed, et al.
Pubblicazione: (2025)

Learning to Stop Overthinking at Test Time
di: Bao, Hieu Tran, et al.
Pubblicazione: (2025)

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
di: Sakarvadia, Mansi, et al.
Pubblicazione: (2025)

Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
di: Satriani, Nathanya, et al.
Pubblicazione: (2026)

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
di: Hess, Timm, et al.
Pubblicazione: (2023)

ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
di: Zhao, Fan, et al.
Pubblicazione: (2024)

FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
di: Bai, Yunwei, et al.
Pubblicazione: (2024)

Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
di: Mohammad, Mohammed Rahman Sherif Khan, et al.
Pubblicazione: (2026)

Evaluation of Test-Time Adaptation Under Computational Time Constraints
di: Alfarra, Motasem, et al.
Pubblicazione: (2023)

Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI
di: Islam, Taminul, et al.
Pubblicazione: (2024)

Test-Time Discovery via Hashing Memory
di: Lyu, Fan, et al.
Pubblicazione: (2025)

Three Creates All: You Only Sample 3 Steps
di: Cai, Yuren, et al.
Pubblicazione: (2026)

A Layer Selection Approach to Test Time Adaptation
di: Sahoo, Sabyasachi, et al.
Pubblicazione: (2024)

Temporal Test-Time Adaptation with State-Space Models
di: Schirmer, Mona, et al.
Pubblicazione: (2024)

Mitigating Bad Ground Truth in Supervised Machine Learning based Crop Classification: A Multi-Level Framework with Sentinel-2 Images
di: A, Sanayya, et al.
Pubblicazione: (2025)

Real Time Multi Organ Classification on Computed Tomography Images
di: Yerebakan, Halid Ziya, et al.
Pubblicazione: (2024)

You Only Submit One Image to Find the Most Suitable Generative Model
di: Zhou, Zhi, et al.
Pubblicazione: (2024)

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training
di: Jin, Haian, et al.
Pubblicazione: (2026)

Effortless Active Labeling for Long-Term Test-Time Adaptation
di: Wang, Guowei, et al.
Pubblicazione: (2025)

Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
di: Shi, Tingyu, et al.
Pubblicazione: (2025)

Test-Time Training with KV Binding Is Secretly Linear Attention
di: Liu, Junchen, et al.
Pubblicazione: (2026)

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
di: Lee, Taeckyung, et al.
Pubblicazione: (2024)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
di: Crivoi, Carla, et al.
Pubblicazione: (2025)

Real-Time Fitness Exercise Classification and Counting from Video Frames
di: Riccio, Riccardo
Pubblicazione: (2024)

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
di: Roschmann, Simon, et al.
Pubblicazione: (2025)

A Lightweight Transformer with Phase-Only Cross-Attention for Illumination-Invariant Biometric Authentication
di: Sharma, Arun K., et al.
Pubblicazione: (2024)

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
di: Wang, Shuoyuan, et al.
Pubblicazione: (2023)

Scaling Image and Video Generation via Test-Time Evolutionary Search
di: He, Haoran, et al.
Pubblicazione: (2025)

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
di: Jang, Minguk, et al.
Pubblicazione: (2024)

When and Where to Reset Matters for Long-Term Test-Time Adaptation
di: Lim, Taejun, et al.
Pubblicazione: (2026)

(1D) Ordered Tokens Enable Efficient Test-Time Search
di: Gao, Zhitong, et al.
Pubblicazione: (2026)

VRScout: Towards Real-Time, Autonomous Testing of Virtual Reality Games
di: Wu, Yurun, et al.
Pubblicazione: (2025)

Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
di: Song, Fei, et al.
Pubblicazione: (2025)

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
di: Liang, Jian, et al.
Pubblicazione: (2023)

Towards Automated Machine Learning Research
di: Ardeshir, Shervin
Pubblicazione: (2024)

Tiny Machine Learning: Progress and Futures
di: Lin, Ji, et al.
Pubblicazione: (2024)

Harmonic Machine Learning Models are Robust
di: Kersting, Nicholas S., et al.
Pubblicazione: (2024)