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 1226–1250 of 4891 papers

TitleStatusHype
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Dynamic Causal Models of Time-Varying Connectivity—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Bioinspired Cortex-based Fast Codebook Generation—0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
Bi-l0-l2-Norm Regularization for Blind Motion Deblurring—0
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
An Autonomous Vision-Based Algorithm for Interplanetary Navigation—0
Bidirectional Long-Range Parser for Sequential Data Understanding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified