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

Showing 37813790 of 4891 papers

TitleStatusHype
Partitioned Active Learning for Heterogeneous Systems0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Deep Unsupervised Hashing by Distilled Smooth Guidance0
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Energy-optimal Design and Control of Electric Vehicles' Transmissions0
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization0
Stability Constrained Mobile Manipulation Planning on Rough Terrain0
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified