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 3901–3925 of 4891 papers

TitleStatusHype
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction—0
Spectral Machine Learning for Pancreatic Mass Imaging Classification—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data—0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access—0
Efficient training of physics-informed neural networks via importance sampling—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Partitioning sparse deep neural networks for scalable training and inference—0
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Machine learning-assisted surrogate construction for full-core fuel performance analysis—0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Uncertainty Surrogates for Deep Learning—0
The Butterfly Effect in Primary Visual Cortex—0
Towards Efficient Graph Convolutional Networks for Point Cloud HandlingCode0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Deformable Capsules for Object Detection—0
A New Parallel Adaptive Clustering and its Application to Streaming Data—0
Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis—0
CCSNet: a deep learning modeling suite for CO_2 storage—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks—0
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical ZoomCode0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified