10 principais opt-ml.org concorrentes

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as a simple (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.

scholar.google.com

google scholar provides a simple way to broadly search for scholarly literature. search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

keras.io

keras documentation

cs231n.github.io

course materials and notes for stanford class cs231n: convolutional neural networks for visual recognition.

wandb.ai

Weights & Biases의 전문가들이 작성한 머신 러닝, MLOps, LLM 및 LLMOps에 대한 Whitepaper를 다운로드하세요

openreview.net

Promoting openness in scientific communication and the peer-review process

datascience.stackexchange.com

Q&A for Data science professionals, Machine Learning specialists, and those interested in learning more about the field

machinelearningmastery.com

Making developers awesome at machine learning.

allenai.org

Our new CEO, a Best Paper Award at CVPR, using LLMs with care, and more