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 201–210 of 4891 papers

TitleStatusHype
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh RepresentationCode2
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal ForecastingCode2
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level LatenciesCode2
BiFormer: Vision Transformer with Bi-Level Routing AttentionCode2
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow PredictionCode2
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech EnhancementCode2
Fast-SNARF: A Fast Deformer for Articulated Neural FieldsCode2
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge DistillationCode2
Simplified State Space Layers for Sequence ModelingCode2
Softmax-free Linear TransformersCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified