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 3731–3740 of 4891 papers

TitleStatusHype
Accelerating Spherical k-Means—0
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation—0
Training Adaptive Computation for Open-Domain Question Answering with Computational ConstraintsCode1
Certifiably Robust Interpretation via Renyi Differential Privacy—0
Learned Global Optimization for Inverse Scattering Problems -- Matching Global Search with Computational Efficiency—0
Dispatchable Region for Active Distribution Networks Using Approximate Second-Order Cone Relaxation—0
Computationally efficient spatial rendering of late reverberation in virtual acoustic environments—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified