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 191–200 of 4891 papers

TitleStatusHype
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentCode1
Visual Loop Closure Detection Through Deep Graph Consensus—0
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal SimulationCode3
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation—0
Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified