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 2571–2580 of 4891 papers

TitleStatusHype
VideoLCM: Video Latent Consistency Model—0
A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation—0
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record GenerationCode0
Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning—0
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning—0
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—0
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy—0
GenQ: Quantization in Low Data Regimes with Generative Synthetic DataCode0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified