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Favoris ; Science AND Arxiv Doc

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22 Documents

[2306.07174] Augmenting Language Models with Long-Term Memory

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2023-06-13 About

[2203.14465] STaR: Bootstrapping Reasoning With Reasoning

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2023-02-07 About

[2201.00042] Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

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2022-06-26 About

[1410.5859] Towards a Model Theory for Distributed Representations

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2021-06-10 About

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

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2020-10-03 About

[2003.03384] AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

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2020-03-17 About

[2002.05867] Transformers as Soft Reasoners over Language

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2020-02-17 About

[1912.03927] Large deviations for the perceptron model and consequences for active learning

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2019-12-11 About

[1912.01412] Deep Learning for Symbolic Mathematics

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2019-12-09 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

[1910.03524] Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs

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2019-10-09 About

[1908.01580] The HSIC Bottleneck: Deep Learning without Back-Propagation

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2019-08-15 About

[1907.03950] Learning by Abstraction: The Neural State Machine

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2019-07-10 About

[1905.12149] SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

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2019-05-31 About

[1705.08039] Poincaré Embeddings for Learning Hierarchical Representations

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2017-12-16 About

[1709.08568] The Consciousness Prior

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2017-09-29 About

[1611.04228] Learning Sparse, Distributed Representations using the Hebbian Principle

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2017-04-28 About

[1601.07752] Enhancing the Power of Cardinal's Algorithm

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2016-05-28 About

[1511.08154] Notes on Cardinal's Matrices

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2016-01-12 About

[1002.2284] Markets are efficient if and only if P = NP

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2013-05-11 About

[0811.3701] Symmetric matrices related to the Mertens function

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2009-01-20 About

[0807.4145] Une suite de matrices symétriques en rapport avec la fonction de Mertens

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2008-08-17 About