Search
Search Results
-
-
FalconNet: Factorization for the Light-Weight ConvNets
Designing light-weight CNN models with little parameters and Flops is a prominent research concern. However, three significant issues persist in the...
-
Decorelated Weight Initialization by Backpropagation
A hybrid, trainable weight initialization method for neural networks has been proposed to address potential training issues caused by weight...
-
Fruit Weight Predicting by Using Hybrid Learning
Modern lifestyle diseases are closely linked to diet, including weight control, healthy eating habits, and physical activity. This is particularly...
-
Weight Re-map** for Variational Quantum Algorithms
Inspired by the remarkable success of artificial neural networks across a broad spectrum of AI tasks, variational quantum circuits (VQCs) have...
-
Weight Fixing Networks
Modern iterations of deep learning models contain millions (billions) of unique parameters-each represented by a b-bit number. Popular attempts at...
-
Improved Jaya Algorithm with Inertia Weight Factor
The newly established Jaya algorithm has a simple structure and just requires a small set of control parameters to be optimized. Though it has scope...
-
Lightweight Weight Update for Convolutional Neural Networks
Convolutional neural networks are usually composed of convolutional layers and pooling layers. Pooling operations effectively control the weight...
-
Defense Against Free-Rider Attack from the Weight Evolving Frequency
Federated learning (FL) with multiple clients collaborating to train a federated model without exchanging their individual data is a method of...
-
A Linear Weight Transfer Rule for Local Search
The Divide and Distribute Fixed Weights algorithm (ddfw) is a dynamic local search SAT-solving algorithm that transfers weight from satisfied to...
-
The complete weight distribution of a subclass of optimal three-weight cyclic codes
The weight distribution of a code is usually investigated on the basis of Hamming weight, under which all the nonzero components of a codeword are...
-
Weight, Mass, and Force
Experimental sciences frequently require the measurement of the number of materials being tested, analyzed, or aliquoted. Mass can be measured in a...
-
Weight hierarchies of a class of three-weight p-ary linear codes from inhomogeneous quadratic functions
The weight hierarchy of a linear code have been an important research topic in coding theory since Wei’s original work in 1991. In this paper,...
-
Synthetic Data Generation for Differential Privacy Using Maximum Weight Matching
Differential privacy synthetic data is one of the most effective methods for privacy preserving data release. However, the existing schemes still...
-
Antipodal two-weight rank metric codes
We consider the class of linear antipodal two-weight rank metric codes and discuss their properties and characterization in terms of t -spreads. It is...
-
Multiplicative Auction Algorithm for Approximate Maximum Weight Bipartite Matching
We present an auction algorithm using multiplicative instead of constant weight updates to compute a...
-
A Novel Weight Adaptive Multi Factor Authorization Technology
Facing the increasingly complex computer network system, the importance of network security has become increasingly prominent. Authentication and...
-
Multiple-Channel Weight-Based CNN Fault Diagnosis Method
It is difficult to comprehensively extract device status information for CNNs under a single source high-frequency timing signal, and CNNs cannot...
-
Weight-Aware Graph Contrastive Learning
In contrastive learning, samples usually have different contributions to optimization. This inference applies to the specific downstream tasks of...
-
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
In federated learning (FL), the global model at the server requires an efficient mechanism for weight aggregation and a systematic strategy for...