SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2801–2825 of 4891 papers

TitleStatusHype
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning—0
Robust GAN inversion—0
Robust Networked Federated Learning for Localization—0
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing—0
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research—0
Stochastic Graph Bandit Learning with Side-Observations—0
NSF: Neural Surface Fields for Human Modeling from Monocular Depth—0
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
A Generalization of Continuous Relaxation in Structured Pruning—0
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models—0
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel—0
SGMM: Stochastic Approximation to Generalized Method of Moments—0
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems—0
QKSAN: A Quantum Kernel Self-Attention Network—0
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsCode2
Reinforcement learning informed evolutionary search for autonomous systems testing—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Probabilistic load forecasting with Reservoir Computing—0
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition—0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Tumor-Centered Patching for Enhanced Medical Image Segmentation—0
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search—0
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics—0
Domain Reduction Strategy for Non Line of Sight ImagingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified