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 1251–1260 of 4891 papers

TitleStatusHype
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag DataCode0
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory—0
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep—0
CNNtention: Can CNNs do better with Attention?Code0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video RecognitionCode2
Pretrained Event Classification Model for High Energy Physics Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified