:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abbasi, Reza, Lim, Sernam
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.08791
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPU Memory Usage Optimization for Backward Propagation in Deep Network Training
by: Hong, Ding-Yong, et al.
Published: (2025)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
by: Kim, Taeho, et al.
Published: (2024)

Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
by: Sheibanian, Mohsen, et al.
Published: (2025)

Loki: Representation over Architecture for Diffusion-Based Portrait Animation
by: Navard, Pouyan, et al.
Published: (2026)

On the Universality of Transformer Architectures; How Much Attention Is Enough?
by: Abbasi, Amirreza, et al.
Published: (2025)

Opportunities in deep learning methods development for computational biology
by: Lee, Alex Jihun, et al.
Published: (2024)

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
by: Kamath, Aditya K, et al.
Published: (2026)

ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
by: Wang, Liangyu, et al.
Published: (2025)

Expanding Sparse Tuning for Low Memory Usage
by: Shen, Shufan, et al.
Published: (2024)

GPU Memory Prediction for Multimodal Model Training
by: Jeong, Jinwoo, et al.
Published: (2025)

Mastering Memory Tasks with World Models
by: Samsami, Mohammad Reza, et al.
Published: (2024)

MeMoir: A Software-Driven Covert Channel based on Memory Usage
by: Gonzalez-Gomez, Jeferson, et al.
Published: (2024)

Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference
by: Recasens, Pol G., et al.
Published: (2025)

Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)
by: Abbasi, Jassem, et al.
Published: (2022)

Universality in Transfer Learning for Linear Models
by: Ghane, Reza, et al.
Published: (2024)

FloE: On-the-Fly MoE Inference on Memory-constrained GPU
by: Zhou, Yuxin, et al.
Published: (2025)

Gaussian Universality for Diffusion Models
by: Ghane, Reza, et al.
Published: (2025)

Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
by: Duan, Hanyu, et al.
Published: (2025)

Scaling On-Device GPU Inference for Large Generative Models
by: Tang, Jiuqiang, et al.
Published: (2025)

Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective
by: Faraji, Farbod, et al.
Published: (2024)

GPU-Fuzz: Finding Memory Errors in Deep Learning Frameworks
by: Li, Zihao, et al.
Published: (2026)

xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads
by: Shi, Jiabo, et al.
Published: (2025)

Multi-Stage Prototype Learning for Interpretable Time Series Classification
by: Kalisetti, Bhavesh, et al.
Published: (2021)

Reinforcement Learning for Dynamic Memory Allocation
by: Lim, Arisrei, et al.
Published: (2024)

Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions
by: Wang, Lan, et al.
Published: (2024)

Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
by: Wang, Chong, et al.
Published: (2026)

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
by: Yang, Yuchen, et al.
Published: (2024)

LLMPerf: GPU Performance Modeling meets Large Language Models
by: Nguyen, Khoi N. M., et al.
Published: (2025)

Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach
by: Jahani, Reza, et al.
Published: (2025)

Semantic-Aware Scheduling for GPU Clusters with Large Language Models
by: Wang, Zerui, et al.
Published: (2025)

Memory-Reduced Meta-Learning with Guaranteed Convergence
by: Yang, Honglin, et al.
Published: (2024)

Inverted Activations: Reducing Memory Footprint in Neural Network Training
by: Novikov, Georgii, et al.
Published: (2024)

GPU-Accelerated INT8 Quantization for KV Cache Compression in Large Language Models
by: Taneja, Maanas, et al.
Published: (2026)

The Mosaic Memory of Large Language Models
by: Shilov, Igor, et al.
Published: (2024)

Online Learning Models for Vehicle Usage Prediction During COVID-19
by: Lindroth, Tobias, et al.
Published: (2022)

Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach
by: Yong, Jin Yi, et al.
Published: (2024)

Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach
by: Reza, Md Shihab, et al.
Published: (2024)

FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
by: Zmushko, Philip, et al.
Published: (2024)

Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
by: Bailie, Thomas, et al.
Published: (2025)

Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary
by: Duan, Hanyu, et al.
Published: (2025)