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 1151–1175 of 4891 papers

TitleStatusHype
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Dataset Distillation with Neural Characteristic Function: A Minmax PerspectiveCode3
Star with Bilinear Mapping—0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement—0
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network—0
SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor SegmentationCode0
DefMamba: Deformable Visual State Space Model—0
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search—0
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationCode1
LENS-XAI: Redefining Lightweight and Explainable Network Security through Knowledge Distillation and Variational Autoencoders for Scalable Intrusion Detection in Cybersecurity—0
Learning Weather Models from Data with WSINDy—0
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing GraphsCode0
Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems—0
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models—0
Different thresholding methods on Nearest Shrunken Centroid algorithm—0
NeuroSleepNet: A Multi-Head Self-Attention Based Automatic Sleep Scoring Scheme with Spatial and Multi-Scale Temporal Representation Learning—0
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians—0
DeepF-fNet: a physics-informed neural network for vibration isolation optimization—0
Dynamic Adaptation in Data Storage: Real-Time Machine Learning for Enhanced Prefetching—0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning—0
MATEY: multiscale adaptive foundation models for spatiotemporal physical systems—0
Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset—0
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation—0
TeLU Activation Function for Fast and Stable Deep LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified