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 2451–2475 of 4891 papers

TitleStatusHype
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars—0
Learning a Mini-batch Graph Transformer via Two-stage Interaction AugmentationCode0
Approximating particle-based clustering dynamics by stochastic PDEs—0
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs—0
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks—0
Faster Machine Unlearning via Natural Gradient Descent—0
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelinesCode0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
Machine Unlearning for Medical Imaging—0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation—0
Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian—0
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads—0
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network—0
PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression—0
Mamba Hawkes Process—0
The Solution for the AIGC Inference Performance Optimization Competition—0
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes—0
Prediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach—0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Show:102550
← PrevPage 99 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified