This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
A Comprehensive Guide to Social LearningTheory Gyrus Systems Gyrus Systems - Best Online Learning Management Systems Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
A Comprehensive Guide to Social LearningTheory GyrusAim LMS GyrusAim LMS - Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
A Comprehensive Guide to Social LearningTheory GyrusAim LMS GyrusAim LMS - Social learningtheory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social LearningTheory?
Use LearningTheory. I have written a lot about how it is important to understand how the brain works, how people learn by using learningtheories to guide the design of your workshops. Bear in mind that the model isn’t practical in all situations. to define the four levels of training evaluation.
Concretely, this research agenda involves answering questions such as: What is the right method for expressing goals and instructions to AI systems? For example, suppose that the behaviour which we desire from an AI system is exactly captured by some reward function R 1 , but that the AI instead maximises some other reward function R 2.
If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics.
Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular LearningTheory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. We scaled key SLT-derived techniques to models with billions of parameters, eliminating our main concerns around tractability.
The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out! Smith, Scott W.
This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure.
Manning, Jure Leskovec Contact : xikunz2@cs.stanford.edu Award nominations: Spotlight Links: Paper | Website Keywords : knowledge graph, question answering, language model, commonsense reasoning, graph neural networks, biomedical qa Fast Model Editing at Scale Authors : Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D.
Moreover, this dynamic is often at the core of many stories of how we could get catastrophic risks from AI systems. In particular, when a reward model is optimised, then ordinary statistical learningtheory tells us that this model eventually will have a good generalisation error relative to the training distribution.
Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.
One way is to see if it helps us prove things about models that we care about knowing. In this episode, I speak with Jason Gross about his agenda to benchmark interpretability in this way, and his exploration of the intersection of proofs and modern machine learning. Whats the theme? Jason Gross (00:01:02): Okay.
52
52
Input your email to sign up, or if you already have an account, log in here!
Enter your email address to reset your password. A temporary password will be e‑mailed to you.
We organize all of the trending information in your field so you don't have to. Join 12,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content