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 1331–1340 of 4891 papers

TitleStatusHype
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial ImageryCode0
ReverBERT: A State Space Model for Efficient Text-Driven Speech Style Transfer—0
Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions—0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework—0
Novel Deep Neural OFDM Receiver Architectures for LLR EstimationCode0
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks—0
Problem-Structure-Informed Quantum Approximate Optimization Algorithm for Large-Scale Unit Commitment with Limited Qubits—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified