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

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Showing 2601–2650 of 4891 papers

TitleStatusHype
Spatially Covariant Image Registration with Text PromptsCode1
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs—0
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Online Importance Sampling for Stochastic Gradient Optimization—0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive ImagingCode1
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores—0
A projected nonlinear state-space model for forecasting time series signalsCode0
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints—0
Computational Explorations in Biomedicine: Unraveling Molecular Dynamics for Cancer, Drug Delivery, and Biomolecular Insights using LAMMPS Simulations—0
Novel OCT mosaicking pipeline with Feature- and Pixel-based registrationCode0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria—0
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration—0
Multi-Resolution Planar Region Extraction for Uneven Terrains—0
Neural Network Pruning by Gradient DescentCode0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Deep Tensor Network—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—0
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
K-BMPC: Derivative-based Koopman Bilinear Model Predictive Control for Tractor-Trailer Trajectory Tracking with Unknown Parameters—0
Federated Learning for Sparse Principal Component Analysis—0
I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social RobotsCode0
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifoldsCode0
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral ClusteringCode1
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningCode0
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
C-Procgen: Empowering Procgen with Controllable Contexts—0
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsCode1
Perfecting Liquid-State Theories with Machine Intelligence—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Solving High Frequency and Multi-Scale PDEs with Gaussian ProcessesCode1
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall DataCode0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Leveraging point annotations in segmentation learning with boundary loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified