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

Showing 401410 of 4891 papers

TitleStatusHype
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeCode1
Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change DetectionCode1
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd NavigationCode1
Relational Representation DistillationCode1
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMsCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified