Media Summary: In the SLT seminar, Zach Furman from The University of Melbourne discusses evidence for Course webpage: With the advancement of modern technologies, Panel discussion with Francois Chollet, Kevin Ellis, and Zenna Tavares on why

Deep Learning As Program Synthesis - Detailed Analysis & Overview

In the SLT seminar, Zach Furman from The University of Melbourne discusses evidence for Course webpage: With the advancement of modern technologies, Panel discussion with Francois Chollet, Kevin Ellis, and Zenna Tavares on why Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn like humans do: building abstract ... ... papers that successfully combine neural This is apresentation of our NeurIPS 2018 paper. For more information, follow the link below: We ...

Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable Authors: Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica Presented at SPLASH 2019.

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Deep Learning as Program Synthesis | SLT Seminar
Deep Learning Foundations: Xinyun Chen 's talk on "Learning-Based Program Synthesis"
SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations
Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares
Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
Neural Program Synthesis
Neural Program Synthesis for Navigation and Language Understanding | Xinyun Chen
Program Synthesis via Deep Learning over Graph Structured Data
HOUDINI: Lifelong Learning as Program Synthesis
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Advanced Machine Learning Day 3: Neural Program Synthesis
AutoPandas: Neural-Backed Generators for Program Synthesis
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Deep Learning as Program Synthesis | SLT Seminar

Deep Learning as Program Synthesis | SLT Seminar

In the SLT seminar, Zach Furman from The University of Melbourne discusses evidence for

Deep Learning Foundations: Xinyun Chen 's talk on "Learning-Based Program Synthesis"

Deep Learning Foundations: Xinyun Chen 's talk on "Learning-Based Program Synthesis"

Course webpage: http://www.cs.umd.edu/class/fall2022/cmsc828W/ With the advancement of modern technologies,

SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations

SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations

Invited Talk: Neuro-Symbolic

Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares

Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares

Panel discussion with Francois Chollet, Kevin Ellis, and Zenna Tavares on why

Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn like humans do: building abstract ...

Neural Program Synthesis

Neural Program Synthesis

... papers that successfully combine neural

Neural Program Synthesis for Navigation and Language Understanding | Xinyun Chen

Neural Program Synthesis for Navigation and Language Understanding | Xinyun Chen

... intersection of

Program Synthesis via Deep Learning over Graph Structured Data

Program Synthesis via Deep Learning over Graph Structured Data

Mayur Naik (University of Pennsylvania) https://simons.berkeley.edu/talks/tbd-297

HOUDINI: Lifelong Learning as Program Synthesis

HOUDINI: Lifelong Learning as Program Synthesis

This is apresentation of our NeurIPS 2018 paper. For more information, follow the link below: https://arxiv.org/abs/1804.00218 We ...

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable

Advanced Machine Learning Day 3: Neural Program Synthesis

Advanced Machine Learning Day 3: Neural Program Synthesis

How do you learn

AutoPandas: Neural-Backed Generators for Program Synthesis

AutoPandas: Neural-Backed Generators for Program Synthesis

Authors: Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica Presented at SPLASH 2019.

Toward Neural-Network-Guided Program Synthesis and Verification

Toward Neural-Network-Guided Program Synthesis and Verification

We propose a novel framework of