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 1851–1875 of 4891 papers

TitleStatusHype
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP—0
Fast High-Quality Enhanced Imaging Algorithm for Layered Dielectric Targets Based on MMW MIMO-SAR System—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness—0
Frames and vertex-frequency representations in graph fractional Fourier domain—0
Directed Acyclic Graph Convolutional Networks—0
Fast Learning in Quantitative Finance with Extreme Learning Machine—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems—0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
A parsimonious, computationally efficient machine learning method for spatial regression—0
Fast Nonconvex SDP Solvers for Large-scale Power System State Estimation—0
Fast online node labeling with graph subsampling—0
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks—0
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting—0
Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems—0
Automatic Doubly Robust Forests—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified