The advancements in vision-based tactile sensors have boosted the aptitu...
The Perron-Frobenius theorem says that the spectral radius of an irreduc...
In this work, we analyze the learnability of reproducing kernel Hilbert
...
One of the fundamental problems in deep learning theory is understanding...
In this paper, we study the implicit regularization of stochastic gradie...
In this paper, we study the inductive biases in convolutional neural net...
We consider the problem of learning functions in the ℱ_p,π
and Barron sp...
Recent years have witnessed explosive growth in blockchain smart contrac...
Most of the existing signcryption schemes generate pseudonym by key
gene...
Despite the success in various scenarios, blockchain systems, especially...
Recent neuroimaging studies that focus on predicting brain disorders via...
This paper focuses on mobile apps serving the underground economy by
pro...
The electricity market clearing is usually implemented via an open-loop
...
EOSIO, as one of the most representative blockchain 3.0 platforms, invol...
The long-tail effect is a common issue that limits the performance of de...
The observation that stochastic gradient descent (SGD) favors flat minim...
Vetting security impacts introduced by third-party libraries in iOS apps...
The prosperity of decentralized finance motivates many investors to prof...
Ultrasonography is an important routine examination for breast cancer
di...
Local quadratic approximation has been extensively used to study the
opt...
Robustness of deep neural networks (DNNs) to malicious perturbations is ...
We study the problem of learning a single neuron 𝐱↦σ(𝐰^T𝐱) with gradient...
The integration of air and ground smart vehicles is becoming a new parad...
The continuing expansion of the blockchain ecosystems has attracted much...
Recent advances have been made in applying convolutional neural networks...
In this paper, we present a spectral-based approach to study the linear
...
Mobile apps are extensively involved in cyber-crimes. Some apps are malw...
Embedded devices are becoming popular. Meanwhile, researchers are active...
Dynamic analysis based on the full-system emulator QEMU is widely used f...
Emulator is widely used to build dynamic analysis frameworks due to its
...
The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum
eco...
Self-supervised learning has enabled significant improvements on natural...
Knowledge distillation can lead to deploy-friendly networks against the
...
Sensory input from multiple sources is crucial for robust and coherent h...
Introspection of deep supervised predictive models trained on functional...
WebAssemly is an emerging runtime for Web applications and has been supp...
The popularity of Bitcoin benefits a lot from its anonymity. However, th...
Flash Loan, as an emerging service in the decentralized finance ecosyste...
The purpose of this article is to review the achievements made in the la...
A simple approach is proposed to obtain complexity controls for neural
n...
The dynamic behavior of RMSprop and Adam algorithms is studied through a...
The random feature model exhibits a kind of resonance behavior when the
...
As COVID-19 has been spreading across the world since early 2020, a grow...
A numerical and phenomenological study of the gradient descent (GD) algo...
Cryptocurrency has seen an explosive growth in recent years, thanks to t...
As the COVID-19 pandemic emerges in early 2020, a number of campaigns ha...
As one of the representative blockchain platforms, Ethereum has attracte...
As the indispensable trading platforms of the ecosystem, hundreds of
cry...
The EOSIO blockchain, one of the representative Delegated Proof-of-Stake...
We introduce a machine-learning-based framework for constructing continu...