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 521–530 of 4891 papers

TitleStatusHype
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Remote Sensing Image Change Detection with Graph InteractionCode1
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at ScaleCode1
On efficient computation in active inferenceCode1
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature MatchingCode1
Practical and Asymptotically Exact Conditional Sampling in Diffusion ModelsCode1
Scaling MLPs: A Tale of Inductive BiasCode1
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual NavigationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified