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 4201–4225 of 4891 papers

TitleStatusHype
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models—0
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification—0
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Dyna: A Method of Momentum for Stochastic Optimization—0
Dynamic Adaptation in Data Storage: Real-Time Machine Learning for Enhanced Prefetching—0
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models—0
Dynamically Expanded CNN Array for Video Coding—0
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models—0
Dynamic Causal Models of Time-Varying Connectivity—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—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
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
Dynamic Flow Equilibrium of Transportation and Power Distribution Networks Considering Flexible Traveling Choices and Voltage Quality Improvement—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation—0
Dynamic Neural Network Channel Execution for Efficient Training—0
Dynamic Neural Networks: A Survey—0
Dynamic Parallel Tree Search for Efficient LLM Reasoning—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
Dynamic Tensor Clustering—0
Dynamic Time-Of-Flight—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified