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11 Documents (Liste longue)

Tackling the Traveling Salesman Problem with Graph Neural Networks | by Michael Atkin | Stanford CS224W GraphML Tutorials | May, 2023 | Medium

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2023-05-18 A propos

Stanford CS224W GraphML Tutorials – Medium

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2023-05-18 A propos

[2204.08491] Active Learning Helps Pretrained Models Learn the Intended Task

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2022-04-20 A propos

Tengyu Ma sur Twitter : "Pretraining is ≈SoTA for domain adaptation..."

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2022-04-13 A propos

Modeling AI on the Language of Brain Circuits and Architecture | Wu Tsai Neurosciences Institute

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2021-10-20 A propos

Link Prediction with Graph Neural Networks and Knowledge Extraction

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2021-09-03 A propos

[2010.00402] From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

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2020-10-03 A propos

[2007.04612] Concept Bottleneck Models

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2020-07-10 A propos

[2007.00077] Similarity Search for Efficient Active Learning and Search of Rare Concepts

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2020-07-02 A propos

[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 A propos

Weak Supervision: A New Programming Paradigm for Machine Learning | SAIL Blog

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2019-03-12 A propos

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sl:creationDate : 2019-03-12
sl:creationTime : 2019-03-12T13:33:59Z
rdf:type : sl:Tag
skos:prefLabel : AI@Stanford