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 321–330 of 4891 papers

TitleStatusHype
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
Adaptive Focus for Efficient Video RecognitionCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified