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 1101–1125 of 4891 papers

TitleStatusHype
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks—0
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems—0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
SAND: One-Shot Feature Selection with Additive Noise Distortion—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
MambaStyle: Efficient StyleGAN Inversion for Real Image Editing with State-Space Models—0
GNN-enabled Precoding for Massive MIMO LEO Satellite Communications—0
Latent Adaptive Planner for Dynamic Manipulation—0
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time—0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Model Predictive Fuzzy Control: A Hierarchical Multi-Agent Control Architecture for Outdoor Search-and-Rescue Robots—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface RepresentationCode0
Beyond the model: Key differentiators in large language models and multi-agent services—0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels—0
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment—0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors—0
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion—0
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified