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With different opinions being put together & outlined, every topic is described from multiple perspectives within a single document. While the goal of a brief summary is to simplify information search and cut the time by pointing to the most relevant source documents, comprehensive multi-document su

Final words about the research, the importance of project and how you can build similar project yourself!

This work fills this gap. We propose various algorithms and impossibility results offering different trade-offs between quality, fairness, and generality. ## 1 Introduction Machine learning algorithms are increasingly used in decision-making processes. This can potentially lead to the introduction o

A company piloted a three-day AI bootcamp for 60 high schoolers. Most respondents rated it highly and said they understood AI better, but Google Colab notebooks proved a hurdle for programming.

We aim to provide insights and recommendations on how to report and optimize the carbon efficiency of ML models. Method: We conduct the first repository mining study on the Hugging Face Hub API on carbon emissions and answer two research questions: (1) how do ML model creators measure and report car

A paper proposes rebalancing a biased GAN by generating balanced data from it and retraining with a fairness loss, improving a racial fairness metric almost 5 times on StyleGAN2 while keeping image quality.

In a week that unfolded like a sitcom set in a software engineering office, Daniel navigated the absurdities of coding life from Monday to Friday. Starting with code conundrums and coffee calamities on Monday, he inadvertently committed a coffee cup holder function, setting the tone for a week of whimsy. Debugging dilemmas, donut debacles turned meetings into mayhem on Tuesday, while Wednesday's meeting mania included a donut syntax debate and a backlog brawl. Thursday brought code commitment gone wrong, turning the inbox into a battlefield of pranks. The week climaxed on Friday with a deployment drama, featuring a keyboard that decided to celebrate with confetti. Through coding, meetings, and a series of unpredictable events, Daniel navigated the comedic chaos of a software engineer's life, emerging with a sense of triumph and a collection of unforgettable stories from the whimsical world of software shenanigans.