Image de couverture de livre

Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	V, Krisvarish, T, Priyadarshini, Saai, K P Abhishek Sri, Vijayakumar, Vaidehi
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Real-Time Execution of Action Chunking Flow Policies
par: Black, Kevin, et autres
Publié: (2025)

Efficient Real-Time Aircraft ETA Prediction via Feature Tokenization Transformer
par: Huang, Liping, et autres
Publié: (2025)

LOOKAT: Lookup-Optimized Key-Attention for Memory-Efficient Transformers
par: Karmore, Aryan
Publié: (2026)

Generative Modeling of Networked Time-Series via Transformer Architectures
par: Elnady, Yusuf
Publié: (2025)

MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs
par: Moitra, Abhishek, et autres
Publié: (2025)

UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles
par: Balasubramaniam, Abhishek, et autres
Publié: (2025)

Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification
par: Kermani, Arshia, et autres
Publié: (2025)

Toto: Time Series Optimized Transformer for Observability
par: Cohen, Ben, et autres
Publié: (2024)

Triple Attention Transformer Architecture for Time-Dependent Concrete Creep Prediction
par: Dokduea, Warayut, et autres
Publié: (2025)

Rough Transformers for Continuous and Efficient Time-Series Modelling
par: Moreno-Pino, Fernando, et autres
Publié: (2024)

ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
par: Zhang, Yuanyun, et autres
Publié: (2025)

Harnesses for Inference-Time Alignment over Execution Trajectories
par: Wang, Boyuan, et autres
Publié: (2026)

Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
par: Shaer, Ibrahim, et autres
Publié: (2024)

Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
par: Mishra, Anurag, et autres
Publié: (2024)

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
par: Trirat, Patara, et autres
Publié: (2025)

Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach
par: Priyadarshini, Amisha, et autres
Publié: (2024)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
par: Cao, Fanpu, et autres
Publié: (2024)

Plug-and-Play Transformer Modules for Test-Time Adaptation
par: Chang, Xiangyu, et autres
Publié: (2024)

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
par: Wang, Xinglin, et autres
Publié: (2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
par: Zhang, Qianru, et autres
Publié: (2025)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
par: Wang, Ziqing, et autres
Publié: (2026)

A Survey of Graph Transformers: Architectures, Theories and Applications
par: Yuan, Chaohao, et autres
Publié: (2025)

Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
par: Gu, Xiaojie, et autres
Publié: (2026)

A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
par: Salloom, Tony, et autres
Publié: (2025)

ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications
par: Ackva, Valentin, et autres
Publié: (2025)

KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture
par: Balderas, Luis, et autres
Publié: (2026)

FlashOptim: Optimizers for Memory-Efficient Training
par: Ortiz, Jose Javier Gonzalez, et autres
Publié: (2026)

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
par: Lyu, Sisuo, et autres
Publié: (2026)

On the Benefits of Memory for Modeling Time-Dependent PDEs
par: Ruiz, Ricardo Buitrago, et autres
Publié: (2024)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
par: Wang, Tan, et autres
Publié: (2025)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
par: Xiao, Tingsong, et autres
Publié: (2024)

Recurrent Action Transformer with Memory
par: Cherepanov, Egor, et autres
Publié: (2023)

A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
par: Xu, Jingjing, et autres
Publié: (2025)

ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
par: Weyrauch, Arvid, et autres
Publié: (2024)

SalesRLAgent: A Reinforcement Learning Approach for Real-Time Sales Conversion Prediction and Optimization
par: M, Nandakishor
Publié: (2025)

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
par: Chen, Yuqi, et autres
Publié: (2024)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
par: Wang, Yuxuan, et autres
Publié: (2024)

Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications
par: Arab, Issar, et autres
Publié: (2025)

Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity
par: Lee, Yonggeon, et autres
Publié: (2025)

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
par: Cao, Defu, et autres
Publié: (2024)