IAML2.6: Attribute-value representation
From playlist Thinking about Data
Recorded: Spring 2014 Lecturer: Dr. Erin M. Buchanan Materials: created for Memory and Cognition (PSY 422) using Smith and Kosslyn (2006) Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/other-courses/
From playlist PSY 422 Memory and Cognition with Dr. B
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics
In this lecture, Dr Arif Ahmed (University of Cambridge) thinks about the concept of knowledge and the analysis of a particular category of knowledge called ‘propositional knowledge’ (also known as ‘knowledge that’). In particular, we focus on: (i) the distinction between different kinds o
From playlist Philosophy
Representation theory: Introduction
This lecture is an introduction to representation theory of finite groups. We define linear and permutation representations, and give some examples for the icosahedral group. We then discuss the problem of writing a representation as a sum of smaller ones, which leads to the concept of irr
From playlist Representation theory
Reasoning with Language Models - Turning Tables
Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-22nd-2021-0c43042b93a3459c901f7f5973b949bf Thanks for watching! Please Subscribe!
From playlist AI Weekly Update - July 22nd, 2021
Logical Reasoning: Become A Better Thinker
Logical thinking is also known as analytical reasoning, critical thinking or abstract thinking. It is an important trait, especially among developers in the software development industry. Without the logic, they would not understand how the software works, nor would they produce a clean co
From playlist Problem Solving
Complex Factoid Question Answering with a Free-Text Knowledge Graph
We introduce DELFT, a factoid question answering system which combines the nuance and depth of knowledge graph question answering approaches with the broader coverage of free-text. DELFT builds a free-text knowledge graph from Wikipedia, with entities as nodes and sentences in which entit
From playlist Research Talks
André Freitas - Building explanation machines for science: a neuro-symbolic perspective
Recorded 12 January 2023. André Freitas of the University of Manchester presents "Building explanation machines for science: a neuro-symbolic perspective" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/wor
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
Isabelle Bloch - Hybrid AI for Knowledge Representation and Model-based Image Understanding - (...)
This presentation will focus on hybrid AI, as a step towards explainability, more specifically in the domain of spatial reasoning and image understanding. Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their
From playlist 8th edition of the Statistics & Computer Science Day for Data Science in Paris-Saclay, 9 March 2023
On Genealogy (Genealogical Debunking/Skepticism)
We suffer from genealogical anxiety when we worry that the contingent origins of our representations, once revealed, will somehow undermine or cast doubt on those representations. Is such anxiety ever rational? Many have apparently thought so, from pre-Socratic critics of Greek theology to
From playlist Social & Political Philosophy
Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language Models
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/31fNyFN To learn more about this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
AI Weekly Update - January 31st, 2022
Thank you so much for watching, please subscribe for more Deep Learning and Ai videos! Please check out SeMI Technologies on YouTube as well, where I am hosting a podcast on Deep Learning for Search! Paper Links: Text and Code Embeddings by Contrastive Pre-Training: https://cdn.openai.com
From playlist AI Research Weekly Updates
[GATA] Learning Dynamic Belief Graphs to Generalize on Text-Based Games | AISC
For slides and more information on the paper, visit https://ai.science/e/gata-learning-dynamic-belief-graphs-to-generalize-on-text-based-games--Ubf3kPJc5FKPer1s3BhH Speaker: Pascal Poupart; Host: Susan Shu Chang Motivation: Playing text-based games requires skills in processing natural
From playlist Reinforcement Learning
DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning #2 [13/13]
Research Engineer Matteo Hessel covers general value functions, GVFs as auxiliary tasks, and explains how to deal with scaling issues in algorithms. Slides: https://dpmd.ai/deeprl2 Full video lecture series: https://dpmd.ai/DeepMindxUCL21
From playlist Learning resources
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Ellie Pavlick: "Should we care about linguistics?"
New Deep Learning Techniques 2018 "Should we care about linguistics?" Ellie Pavlick, University of Pennsylvania Abstract: There are countless examples of how deep learning has shattered previously state-of-the-art results on language processing tasks, including machine translation, quest
From playlist New Deep Learning Techniques 2018