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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–210 of 4891 papers

TitleStatusHype
Efficient Geometry-aware 3D Generative Adversarial NetworksCode2
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh RepresentationCode2
BEBLID: Boosted efficient binary local image descriptorCode2
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image SegmentationCode2
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation SystemCode2
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge DistillationCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified