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 4451–4500 of 4891 papers

TitleStatusHype
Private Selection from Private Candidates—0
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer ModuleCode0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Deep-learning the Latent Space of Light TransportCode0
A simple yet effective baseline for non-attributed graph classificationCode0
Meta-Learning for Multi-objective Reinforcement Learning—0
Training Domain Specific Models for Energy-Efficient Object DetectionCode0
Learning to Defend by Learning to Attack—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Don't forget, there is more than forgetting: new metrics for Continual Learning—0
Batch Normalization Sampling—0
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction—0
Training Structured Efficient Convolutional Layers—0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
Combinatorial Attacks on Binarized Neural Networks—0
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Bayesian Structure Learning by Recursive Bootstrap—0
Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learningCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Bayesian Patchworks: An Approach to Case-Based Reasoning—0
RetGK: Graph Kernels based on Return Probabilities of Random Walks—0
A Deeper Look at 3D Shape Classifiers—0
Modelling Point Spread Function in Fluorescence Microscopy with a Sparse Combination of Gaussian Mixture: Trade-off between Accuracy and Efficiency—0
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN—0
Training Binary Weight Networks via Semi-Binary Decomposition—0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical ModelsCode0
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement—0
The Sample Complexity of Up-to- Multi-Dimensional Revenue Maximization—0
Rethinking Numerical Representations for Deep Neural Networks—0
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
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified