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 3451–3475 of 4891 papers

TitleStatusHype
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables—0
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
Allpass Feedback Delay Networks—0
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations—0
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
A Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty—0
A machine learning framework for data driven acceleration of computations of differential equations—0
A Marginalized Particle Gaussian Process Regression—0
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures—0
A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing—0
American option pricing using generalised stochastic hybrid systems—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D)—0
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified