Semanlink - Favoris ; Technical girls and guys AND Yoshua Bengio

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Artificial Intelligence - Arxiv Doc - Combinatorial optimization - Computational Neuroscience - Conscience artificielle - Consciousness Prior - Deep Learning - Global workspace theory - Good - Human Level AI - Machine learning - NN / Symbolic AI hybridation - Representation learning - Slides - Survey / Review - Thought Vector - Yoshua Bengio - YouTube video -

Favoris ; Technical girls and guys AND Yoshua Bengio

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Yoshua Bengio

25 Documents

Yoshua Bengio, chercheur : « Aujourd’hui, l’intelligence artificielle, c’est le Far West ! Nous devons ralentir et réguler »

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2023-04-29 About

Yoshua Bengio se joint aux centaines de signataires d'une lettre ouverte plaidant pour des systèmes d'IA plus sûrs - Mila

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2023-04-05 About

Machine learning for combinatorial optimization: A methodological tour d’horizon

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2022-12-09 About

Deep Learning for AI | July 2021 | Communications of the ACM

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2021-08-02 About

[2102.11107] Towards Causal Representation Learning

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2021-07-15 About

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation | Frontiers in Computational Neuroscience

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2021-03-19 About

[2004.10151] Experience Grounds Language

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2020-04-22 About

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Yoshua Bengio

2020-02-12 About

Yoshua Bengio, Revered Architect of AI, Has Some Ideas About What to Build Next - IEEE Spectrum

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Yoshua Bengio

2019-12-18 About

[1807.00082] Amanuensis: The Programmer's Apprentice

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**The use of natural language to facilitate communication
between the expert programmer and apprentice AI system.**

> an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. The course draws upon **insight from cognitive and systems neuroscience to implement hybrid connectionist and symbolic reasoning systems** that leverage and extend the state of the art in machine learning **by integrating human and machine intelligence**. As a concrete example we focus on digital assistants that learn from continuous dialog with an expert software engineer while providing initial value as powerful analytical, computational and mathematical savants.

> [#Dehaene](/tag/stanislas_dehaene)'s work extends the [#Global Workspace Theory](/tag/global_workspace_theory) of Bernard Baars. Dehaene’s version of the theory combined with Yoshua Bengio’s concept of a [#consciousness prior](/tag/consciousness_prior.html) and deep reinforcement learning suggest a model for constructing and maintaining the cognitive states that arise and persist during complex problem solving.

2019-11-12 About

Feature-wise transformations. A simple and surprisingly effective family of conditioning mechanisms. (2018)

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2019-10-07 About

What's next for AI - Yoshua Bengio (Interview)

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Yoshua Bengio

2019-09-17 About

Learning Structured Embeddings of Knowledge Bases (2011)

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2019-08-03 About

[1907.03950] Learning by Abstraction: The Neural State Machine

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2019-07-10 About

Graph Attention Networks (2018)

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2018-11-14 About

[1605.07427] Hierarchical Memory Networks

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2018-11-14 About

Learning Deep Architectures for AI By Yoshua Bengio (2009)

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2018-11-06 About

Towards bridging the gap between deep learning and brains

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2018-10-23 About

From Deep Learning of Disentangled Representations to Higher-level Cognition - YouTube

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2018-09-28 About

Learning to Understand Phrases by Embedding the Dictionary (2016)

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2018-08-23 About

Representation learning (in "Deep Learning", Ian Goodfellow and Yoshua Bengio and Aaron Courville)

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2017-12-16 About

Deep Learning (Ian Goodfellow and Yoshua Bengio and Aaron Courville)

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2017-12-16 About

How do RBMs work? - Quora

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2017-10-30 About

How does one apply deep learning to time series forecasting? - Quora

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2017-10-22 About

[1709.08568] The Consciousness Prior

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2017-09-29 About