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 541–550 of 4891 papers

TitleStatusHype
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Deep reinforcement learning for large-scale epidemic controlCode1
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified