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 876–900 of 4891 papers

TitleStatusHype
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Implicit Regularization for Optimal Sparse RecoveryCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
CMML: Contextual Modulation Meta Learning for Cold-Start RecommendationCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Identification of stormwater control strategies and their associated uncertainties using Bayesian OptimizationCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
CNNtention: Can CNNs do better with Attention?Code0
A non-alternating graph hashing algorithm for large scale image searchCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language ModelsCode0
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric TransformationCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Adjusted chi-square test for degree-corrected block modelsCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
A differentiable programming framework for spin modelsCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified