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 2626–2650 of 4891 papers

TitleStatusHype
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