A review on fairness in machine learning
An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
Recent progress on generative adversarial networks (GANs): A survey
Generative adversarial network (GANs) is one of the most important research avenues in the
field of artificial intelligence, and its outstanding data generation capacity has received wide …
field of artificial intelligence, and its outstanding data generation capacity has received wide …
Strong quantum computational advantage using a superconducting quantum processor
Y Wu, WS Bao, S Cao, F Chen, MC Chen, X Chen… - Physical review …, 2021 - APS
Scaling up to a large number of qubits with high-precision control is essential in the
demonstrations of quantum computational advantage to exponentially outpace the classical …
demonstrations of quantum computational advantage to exponentially outpace the classical …
Working from home and income inequality: risks of a 'new normal'with COVID-19
In the current context of the COVID-19 pandemic, working from home (WFH) became of
great importance for a large share of employees since it represents the only option to both …
great importance for a large share of employees since it represents the only option to both …
On aliased resizing and surprising subtleties in gan evaluation
Metrics for evaluating generative models aim to measure the discrepancy between real and
generated images. The oftenused Frechet Inception Distance (FID) metric, for example …
generated images. The oftenused Frechet Inception Distance (FID) metric, for example …
Prevalence of neural collapse during the terminal phase of deep learning training
Modern practice for training classification deepnets involves a terminal phase of training
(TPT), which begins at the epoch where training error first vanishes. During TPT, the training …
(TPT), which begins at the epoch where training error first vanishes. During TPT, the training …
Scientists rise up against statistical significance
Scientists rise up against statistical significance Skip to main content Thank you for visiting
nature.com. You are using a browser version with limited support for CSS. To obtain the best …
nature.com. You are using a browser version with limited support for CSS. To obtain the best …
Quantum supremacy using a programmable superconducting processor
The promise of quantum computers is that certain computational tasks might be executed
exponentially faster on a quantum processor than on a classical processor 1. A fundamental …
exponentially faster on a quantum processor than on a classical processor 1. A fundamental …
Weak instruments in instrumental variables regression: Theory and practice
When instruments are weakly correlated with endogenous regressors, conventional
methods for instrumental variables (IV) estimation and inference become unreliable. A large …
methods for instrumental variables (IV) estimation and inference become unreliable. A large …
A tale of two cities: Software developers working from home during the covid-19 pandemic
The COVID-19 pandemic has shaken the world to its core and has provoked an overnight
exodus of developers who normally worked in an office setting to working from home. The …
exodus of developers who normally worked in an office setting to working from home. The …