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 2931–2940 of 4891 papers

TitleStatusHype
Fast Decision Boundary based Out-of-Distribution DetectorCode0
A Hierarchical Nearest Neighbour Approach to Contextual Bandits—0
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
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy—0
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—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