Tootfinder

Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions
Shandler A. Mason, Sandeep Kaur Kuttal
https://arxiv.org/abs/2404.07427

Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions
Remote pair programming is widely used in software development, but no research has examined how race affects these interactions. We embarked on this study due to the historical under representation of Black developers in the tech industry, with White developers comprising the majority. Our study involved 24 experienced developers, forming 12 gender-balanced same- and mixed-race pairs. Pairs collaborated on a programming task using the think-aloud method, followed by individual retrospective in…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Ruizhuo Song, Beiming Yuan
https://arxiv.org/abs/2403.03190 https://…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Abstract reasoning problems pose significant challenges to artificial intelligence algorithms, demanding cognitive capabilities beyond those required for perception tasks. This study introduces the Triple-CFN approach to tackle the Bongard-Logo problem, achieving notable reasoning accuracy by implicitly reorganizing the concept space of conflicting instances. Additionally, the Triple-CFN paradigm proves effective for the RPM problem with necessary modifications, yielding competitive results. To…

Had lunch on a slightly windy Autumn day at Double Shot in Deakin (https://doubleshotdeakin.com.au/).
I had the DS Burrito, which was (don't get me wrong) 110% delicious. However I have to be a pointless pedant about the term "burrito". It *does* have 2 tortillas, but not particu…

This https://arxiv.org/abs/2403.03190 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process
Abstract reasoning problems pose significant challenges to artificial intelligence algorithms, demanding cognitive capabilities beyond those required for perception tasks. This study introduces the Triple-CFN approach to tackle the Bongard-Logo problem, achieving notable reasoning accuracy by implicitly reorganizing the concept space of conflicting instances. Additionally, the Triple-CFN paradigm proves effective for the RPM problem with necessary modifications, yielding competitive results. To…

#Florida lawmakers have postponed a bill that would give fetuses civil rights after a similar ruling in #Alabama has halted in vitro fertilization treatment at several clinics in the state.
The “#fetal

Kontsevich's Formula for Rational Curves from Classical and Quantum Perspectives
Greg Weiler
https://arxiv.org/abs/2403.19663 https://

Kontsevich's Formula for Rational Curves from Classical and Quantum Perspectives
Kontsevich's formula for rational plane curves is a recursive relation for the number $N_d$ of degree $d$ rational curves in $\mathbb{P}^2$ passing through $3d-1$ general points. We provide two proofs of this recursion: the first more direct and combinatoric, the second more abstract. In order to achieve this, we introduce several moduli spaces, such as the Deligne-Mumford-Knudsen spaces and the Kontsevich spaces, and exploit their properties. In particular, the boundary structure of these …

Kimchi aus dem 14. Bezirk:
https://www.derstandard.at/story/3000000207201/kraut-von-drueben-wie-selbstgemachtes-kimchi-gelingt?ref=mastodon

Kraut von drüben: Wie selbstgemachtes Kimchi gelingt
Online gehen Rezepte viral, in Lokalen werden aufregende Krautkreationen aufgetischt: Kimchi ist ein kulinarischer Dauertrend. Simon Baur, Kimchi-Hersteller, erklärt uns, wie man Kohl fermentiert

How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
Natalija Mitic, Apostolos Pyrgelis, Sinem Sav
https://arxiv.org/abs/2402.16087

How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
In this paper, we address the problem of privacy-preserving hyperparameter (HP) tuning for cross-silo federated learning (FL). We first perform a comprehensive measurement study that benchmarks various HP strategies suitable for FL. Our benchmarks show that the optimal parameters of the FL server, e.g., the learning rate, can be accurately and efficiently tuned based on the HPs found by each client on its local data. We demonstrate that HP averaging is suitable for iid settings, while density-b…