Beth's Blog: How Nonprofits Can Use Social Media

DECEMBER 23, 2011

This book is filled with great tips on designing engaging learning experiences that help your participants connect, inspire, and engage. The model balances content, learning design, and participants. The ideas, tips, and tricks are grounded in adult learning theory, but the book is very practical.

Skills 106

Skills Network Social Media Technique 106

The AI Alignment Forum

FEBRUARY 28, 2025

The answer to this question should be something like a metric over some type of task specification (such as reward functions), according to which two task specifications have a small distance if and only if they are similar (in some relevant and informative sense).

Research 40

Research Learning Method Policy 40

Stanford AI Lab Blog

DECEMBER 6, 2021

Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.

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Contact Learning Theory Authoring Offline 40

The AI Alignment Forum

FEBRUARY 28, 2025

We also managed to leverage these results to produce a new method for conservative optimisation, that tells you how much (and in what way) you can optimise a proxy reward, based on the quality of that proxy (as measured by a STARC metric ), in order to be guaranteed that the true reward doesnt decrease (and thereby prevent the Goodhart drop).

Learning 40

Learning Discussion Classes Policy 40

The AI Alignment Forum

FEBRUARY 7, 2025

We prefer this definition of success at unlearning over the less conservative metrics like in Lynch et al because we think this definition more clearly distinguishes unlearning from safety training/robustness. VC theory ) and the generalization performance we see in practice. Goldowsky-Dill et al. ). Abbe et al. )

Research 52

Research Fund Open Technique 52

DataRobot

APRIL 21, 2022

They are used for different applications, but nonetheless they suggest that the development in infrastructure (access to GPUs and TPUs for computing) and the development in deep learning theory has led to very large models. For us, we believe in using efficiency metrics in machine learning software.

Green 145

Green Environment Metrics Measure 145

Google Research AI blog

NOVEMBER 28, 2022

A Workshop for Algorithmic Efficiency in Practical Neural Network Training Workshop Organizers include: Zachary Nado , George Dahl , Naman Agarwal , Aakanksha Chowdhery Invited Speakers include: Aakanksha Chowdhery , Priya Goyal Human in the Loop Learning (HiLL) Workshop Organizers include: Fisher Yu, Vittorio Ferrari Invited Speakers include: Dorsa (..)

Google 52

Google Language Tutorial Offline 52