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 3176–3200 of 4891 papers

TitleStatusHype
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
Best Arm Identification in Stochastic Bandits: Beyond β-optimality—0
Topologically Regularized Data EmbeddingsCode0
Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming—0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Deep Video Demoireing via Compact Invertible Dyadic Decomposition—0
Adaptive Spiral Layers for Efficient 3D Representation Learning on MeshesCode0
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation—0
Deep Active Contours for Real-time 6-DoF Object Tracking—0
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach—0
Toward Efficient Automated Feature Engineering—0
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityCode1
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech EnhancementCode2
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Joint Delay-Phase Precoding Under True-Time Delay Constraints in Wideband Sub-THz Hybrid Massive MIMO Systems—0
Single Cell Training on Architecture Search for Image Denoising—0
Tool flank wear prediction using high-frequency machine data from industrial edge device—0
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified