Regardless of the cognitive and environmental concerns arising from humanity’s increasing use of AI which resulted recently in Pope Leo XIV ...

The 43rd International Conference on Machine Learning opens in Seoul, South Korea on Monday, July 6, bringing with it a submission record that more than doubles last year's total and a research agenda ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: This work aims to improve the transmission and sharing efficiency of intelligent transportation data and promote the further development of intelligent transportation and smart city. In this ...

Luo Jianlan, associate professor at the Shanghai Innovation Institute and chief scientist at Agibot. Photo source: Sohu. Data ...

Abstract: Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction is one of the most promising ways to compensate for ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A lightweight, gradient-efficient unlearning framework that maintains test accuracy and membership inference resilience at high data-removal ratios without requiring extra retraining. Unlearned ...

A list of recent papers about adversarial learning - Trustworthy-AI-Group/Adversarial_Examples_Papers ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...