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 2151–2175 of 4891 papers

TitleStatusHype
Learning Causal Dynamics Models in Object-Oriented EnvironmentsCode0
Wav-KAN: Wavelet Kolmogorov-Arnold NetworksCode2
A Foundation Model for the Earth SystemCode3
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma DynamicsCode1
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints—0
Deep Penalty Methods: A Class of Deep Learning Algorithms for Solving High Dimensional Optimal Stopping Problems—0
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelCode0
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
Quantum Vision Transformers for Quark-Gluon ClassificationCode1
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity—0
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous—0
Scalable Subsampling Inference for Deep Neural Networks—0
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing—0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Ground-based image deconvolution with Swin Transformer UNet—0
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global MapsCode3
ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified