Media Summary: Speaker: Elena Voita Date Presented: 12/03/2020 Abstract: How can you know whether a model has learned to encode a ... Speaker: Elena Voita, a Ph.D. student at the University of Edinburgh and the University of Amsterdam Presentation: ... John Goldsmith gives an introduction to thinking about language from the point of view of MDL analysis. Inspired by work in the ...

Information Theoretic Probing With Minimum - Detailed Analysis & Overview

Speaker: Elena Voita Date Presented: 12/03/2020 Abstract: How can you know whether a model has learned to encode a ... Speaker: Elena Voita, a Ph.D. student at the University of Edinburgh and the University of Amsterdam Presentation: ... John Goldsmith gives an introduction to thinking about language from the point of view of MDL analysis. Inspired by work in the ... Amos Golan, American University, SFI Practically all modeling and inference problems entail a vexing problem: the available ... ArXiv link: Two previous papers relevant to this argument: - (Hewitt and Liang, 2019): ... EE380: Computer Systems Colloquium Seminar

Gromit Yeuk-Yin Chan, Panpan Xu, Zeng Dai and Liu Ren ViBr: Visualizing Bipartite Relations at Scale with the Subscribe to Data Science Portugal Youtube channel so you get notified of new exciting videos here: ...

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INFORMATION-THEORETIC PROBING WITH MINIMUM DESCRIPTION LENGTH
Grammarly AI-NLP Club #10 - Information-Theoretic Probing with Minimum Description Length
The Roots of AI: Minimum Description Length (1978)
How to check if a neural network has learned a specific phenomenon?
Minimum Description Length (MDL) and word discovery: Part 1
Talk 4: Probing
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalizations
How to Decide: An Information-Theoretic Approach to Partially Identified Complex Problems
(Zhu and Rudzicz '20) An information theoretic view on selecting linguistic probes
Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby
EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)
Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle
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INFORMATION-THEORETIC PROBING WITH MINIMUM DESCRIPTION LENGTH

INFORMATION-THEORETIC PROBING WITH MINIMUM DESCRIPTION LENGTH

Speaker: Elena Voita Date Presented: 12/03/2020 Abstract: How can you know whether a model has learned to encode a ...

Grammarly AI-NLP Club #10 - Information-Theoretic Probing with Minimum Description Length

Grammarly AI-NLP Club #10 - Information-Theoretic Probing with Minimum Description Length

Speaker: Elena Voita, a Ph.D. student at the University of Edinburgh and the University of Amsterdam Presentation: ...

The Roots of AI: Minimum Description Length (1978)

The Roots of AI: Minimum Description Length (1978)

The

How to check if a neural network has learned a specific phenomenon?

How to check if a neural network has learned a specific phenomenon?

... to the explained paper:

Minimum Description Length (MDL) and word discovery: Part 1

Minimum Description Length (MDL) and word discovery: Part 1

John Goldsmith gives an introduction to thinking about language from the point of view of MDL analysis. Inspired by work in the ...

Talk 4: Probing

Talk 4: Probing

What is

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalizations

OOD-Probe: A Neural Interpretation of Out-of-Domain Generalizations

ICML 2022 SCIS workshop paper: https://openreview.net/forum?id=wZTa5POugK_.

How to Decide: An Information-Theoretic Approach to Partially Identified Complex Problems

How to Decide: An Information-Theoretic Approach to Partially Identified Complex Problems

Amos Golan, American University, SFI Practically all modeling and inference problems entail a vexing problem: the available ...

(Zhu and Rudzicz '20) An information theoretic view on selecting linguistic probes

(Zhu and Rudzicz '20) An information theoretic view on selecting linguistic probes

ArXiv link: https://arxiv.org/abs/2009.07364 Two previous papers relevant to this argument: - (Hewitt and Liang, 2019): ...

Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby

Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby

EE380: Computer Systems Colloquium Seminar

EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)

EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)

https://arxiv.org/pdf/2210.07352.pdf.

Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle

Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle

Gromit Yeuk-Yin Chan, Panpan Xu, Zeng Dai and Liu Ren ViBr: Visualizing Bipartite Relations at Scale with the

An Information-Theoretic Approach to Personalized Explanations of Machine Learning by Alexander Jung

An Information-Theoretic Approach to Personalized Explanations of Machine Learning by Alexander Jung

Subscribe to Data Science Portugal Youtube channel so you get notified of new exciting videos here: ...