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 2981–2990 of 4891 papers

TitleStatusHype
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking—0
Federated Learning for Sparse Principal Component Analysis—0
K-BMPC: Derivative-based Koopman Bilinear Model Predictive Control for Tractor-Trailer Trajectory Tracking with Unknown Parameters—0
I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social RobotsCode0
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifoldsCode0
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
C-Procgen: Empowering Procgen with Controllable Contexts—0
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified