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 1051–1075 of 4891 papers

TitleStatusHype
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features—0
Survey on Hand Gesture Recognition from Visual Input—0
Video Depth Anything: Consistent Depth Estimation for Super-Long VideosCode5
CoverM: Read alignment statistics for metagenomicsCode3
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
Leveraging GANs For Active Appearance Models Optimized Model Fitting—0
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
A Survey on Diffusion Models for Anomaly DetectionCode2
A Survey of World Models for Autonomous DrivingCode1
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
Computational Discovery of Chiasmus in Ancient Religious TextCode0
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024—0
Analytical Models of Frequency and Voltage in Large-Scale All-Inverter Power Systems—0
DPERC: Direct Parameter Estimation for Mixed Data—0
Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning—0
Deep Learning for Early Alzheimer Disease Detection with MRI ScansCode0
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified