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 15911600 of 4891 papers

TitleStatusHype
Falcon: Fair Active Learning using Multi-armed BanditsCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
Exploring the effects of robotic design on learning and neural controlCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified