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

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Showing 3126–3150 of 4891 papers

TitleStatusHype
Robust Networked Federated Learning for Localization—0
Robust GAN inversion—0
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research—0
Stochastic Graph Bandit Learning with Side-Observations—0
A Generalization of Continuous Relaxation in Structured Pruning—0
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models—0
NSF: Neural Surface Fields for Human Modeling from Monocular Depth—0
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel—0
QKSAN: A Quantum Kernel Self-Attention Network—0
SGMM: Stochastic Approximation to Generalized Method of Moments—0
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems—0
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition—0
Probabilistic load forecasting with Reservoir Computing—0
Reinforcement learning informed evolutionary search for autonomous systems testing—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Tumor-Centered Patching for Enhanced Medical Image Segmentation—0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
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
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning—0
Learning Computational Efficient Bots with Costly Features—0
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams—0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified