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 1401–1425 of 4891 papers

TitleStatusHype
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net—0
Don't forget, there is more than forgetting: new metrics for Continual Learning—0
Dyna: A Method of Momentum for Stochastic Optimization—0
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX—0
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models—0
Dynamically Expanded CNN Array for Video Coding—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion—0
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks—0
Domain-Specific Japanese ELECTRA Model Using a Small Corpus—0
Dynamic Causal Models of Time-Varying Connectivity—0
Bandit-Driven Batch Selection for Robust Learning under Label Noise—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose—0
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction—0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems—0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified