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 571580 of 4891 papers

TitleStatusHype
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data ImputationCode1
Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesCode1
Graph Mixer NetworksCode1
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost ProxiesCode1
Optimising Event-Driven Spiking Neural Network with Regularisation and CutoffCode1
ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long readsCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified