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

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Showing 3231–3240 of 4891 papers

TitleStatusHype
Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction—0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
RRWKV: Capturing Long-range Dependencies in RWKV—0
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring—0
Safe Collaborative FilteringCode0
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationCode0
Stochastic Natural Thresholding Algorithms—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified