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 3021–3030 of 4891 papers

TitleStatusHype
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence—0
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids—0
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach—0
Time-Varying Dynamic Bayesian Networks—0
TiMEx: A Waiting Time Model for Mutually Exclusive Groups of Cancer Alterations—0
TinyMetaFed: Efficient Federated Meta-Learning for TinyML—0
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection—0
TLINet: Differentiable Neural Network Temporal Logic Inference—0
Token Dynamics: Towards Efficient and Dynamic Video Token Representation for Video Large Language Models—0
Token Fusion: Bridging the Gap between Token Pruning and Token Merging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified