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 2771–2780 of 4891 papers

TitleStatusHype
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Vanilla Transformers are Transfer Capability Teachers—0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
Revisiting Learning-based Video Motion Magnification for Real-time Processing—0
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure—0
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling—0
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships—0
Comparing large language models and human programmers for generating programming code—0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified