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 3451–3500 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
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation—0
ARES: An Efficient Algorithm with Recurrent Evaluation and Sampling-Driven Inference for Maximum Independent Set—0
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis—0
An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers—0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
Analytical Discovery of Manifold with Machine Learning—0
Analytical Formula for Fractional-Order Conditional Moments of Nonlinear Drift CEV Process with Regime Switching: Hybrid Approach with Applications—0
Analytically Tractable Inference in Deep Neural Networks—0
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
An analysis of the derivative-free loss method for solving PDEs—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
An Autonomous Vision-Based Algorithm for Interplanetary Navigation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified