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 481–490 of 4891 papers

TitleStatusHype
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone MappingCode1
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic ProcessesCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Merging Experts into One: Improving Computational Efficiency of Mixture of ExpertsCode1
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language ModelsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic EnvironmentsCode1
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class ImbalanceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified