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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3776–3800 of 4891 papers

TitleStatusHype
Deep learning of transition probability densities for stochastic asset models with applications in option pricing—0
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA—0
Vision Transformer for Fast and Efficient Scene Text RecognitionCode1
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
Partitioned Active Learning for Heterogeneous Systems—0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials—0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Energy-optimal Design and Control of Electric Vehicles' Transmissions—0
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization—0
Stability Constrained Mobile Manipulation Planning on Rough Terrain—0
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Adaptive Focus for Efficient Video RecognitionCode1
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization—0
Spectral Machine Learning for Pancreatic Mass Imaging Classification—0
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction—0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-RepsCode1
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data—0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access—0
Efficient training of physics-informed neural networks via importance sampling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified