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 651–675 of 4891 papers

TitleStatusHype
Mixed-gradients Distributed Filtered Reference Least Mean Square Algorithm -- A Robust Distributed Multichannel Active Noise Control Algorithm—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
Token Dynamics: Towards Efficient and Dynamic Video Token Representation for Video Large Language Models—0
Distributed Consensus Optimization with Consensus ALADIN—0
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications—0
Fast online node labeling with graph subsampling—0
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation—0
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic ForecastingCode0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation—0
The Morphology-Control Trade-Off: Insights into Soft Robotic Efficiency—0
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic—0
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks—0
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control—0
Temporal Encoding Strategies for Energy Time Series PredictionCode0
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Online federated learning framework for classification—0
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging InfrastructureCode0
Machine learning surrogate models of many-body dispersion interactions in polymer melts—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified