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 4226–4250 of 4891 papers

TitleStatusHype
Value-of-Information based Arbitration between Model-based and Model-free Control—0
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationCode1
Singleshot : a scalable Tucker tensor decomposition—0
Learning Positive Functions with Pseudo Mirror Descent—0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback—0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement—0
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy—0
Fast and Flexible Image Blind Denoising via Competition of Experts—0
WITCHcraft: Efficient PGD attacks with random step size—0
Optimizing Cooperative path-finding: A Scalable Multi-Agent RRT* with Dynamic Potential Fields—0
A Bootstrap-based Method for Testing Network SimilarityCode0
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health RecordsCode0
Sparse Coding on Cascaded Residuals—0
RNN-T For Latency Controlled ASR With Improved Beam Search—0
Global Adaptive Generative Adjustment—0
Efficient Global Multi-object Tracking Under Minimum-cost Circulation FrameworkCode0
Recovering BanditsCode0
Multi-scale Octave Convolutions for Robust Speech Recognition—0
A framework for deep learning emulation of numerical models with a case study in satellite remote sensingCode0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Landmark Ordinal Embedding—0
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified