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 4476–4500 of 4891 papers

TitleStatusHype
Teacher Guided Architecture Search—0
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systemsCode0
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling—0
The impact of imbalanced training data on machine learning for author name disambiguation—0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and LinesCode0
A machine learning framework for data driven acceleration of computations of differential equations—0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Performance of Image Registration Tools on High-Resolution 3D Brain Images—0
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption—0
Model-Free Optimization Using Eagle Perching Optimizer—0
A Single Shot Text Detector with Scale-adaptive Anchors—0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
Stochastic Layer-Wise Precision in Deep Neural Networks—0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
Efficient and Consistent Adversarial Bipartite Matching—0
Stochastic PCA with _2 and _1 Regularization—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
Fast CapsNet for Lung Cancer ScreeningCode0
Supervised Fuzzy Partitioning—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
Knowledge Distillation by On-the-Fly Native EnsembleCode0
Attentive cross-modal paratope prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified