Piero Molino

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Exploration Based Language Learning for Text-Based Games

This work presents an exploration and imitation-learning-based agent cap...
01/24/2020 ∙ by Andrea Madotto, et al. ∙ 27 ∙ share

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Plato Dialogue System: A Flexible Conversational AI Research Platform

As the field of Spoken Dialogue Systems and Conversational AI grows, so ...
01/17/2020 ∙ by Alexandros Papangelis, et al. ∙ 18 ∙ share

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Ludwig: a type-based declarative deep learning toolbox

In this work we present Ludwig, a flexible, extensible and easy to use t...
09/17/2019 ∙ by Piero Molino, et al. ∙ 16 ∙ share

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Plug and Play Language Models: a Simple Approach to Controlled Text Generation

Large transformer-based language models (LMs) trained on huge text corpo...
12/04/2019 ∙ by Sumanth Dathathri, et al. ∙ 13 ∙ share

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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Few ideas have enjoyed as large an impact on deep learning as convolutio...
07/09/2018 ∙ by Rosanne Liu, et al. ∙ 6 ∙ share

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Flexibly-Structured Model for Task-Oriented Dialogues

This paper proposes a novel end-to-end architecture for task-oriented di...
08/06/2019 ∙ by Lei Shu, et al. ∙ 1 ∙ share

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COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

For a company looking to provide delightful user experiences, it is of p...
07/03/2018 ∙ by Piero Molino, et al. ∙ 0 ∙ share

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Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

Interpretation and diagnosis of machine learning models have gained rene...
08/01/2018 ∙ by Jiawei Zhang, et al. ∙ 0 ∙ share

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Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae

Embeddings are a fundamental component of many modern machine learning a...
05/28/2019 ∙ by Piero Molino, et al. ∙ 0 ∙ share

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Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

We present the first complete attempt at concurrently training conversat...
07/11/2019 ∙ by Alexandros Papangelis, et al. ∙ 0 ∙ share

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Modeling Multi-Action Policy for Task-Oriented Dialogues

Dialogue management (DM) plays a key role in the quality of the interact...
08/30/2019 ∙ by Lei Shu, et al. ∙ 0 ∙ share

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Meta-Graph: Few shot Link Prediction via Meta Learning

Fast adaptation to new data is one key facet of human intelligence and i...
12/20/2019 ∙ by Avishek Joey Bose, et al. ∙ 0 ∙ share

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Joint Contextual Modeling for ASR Correction and Language Understanding

The quality of automatic speech recognition (ASR) is critical to Dialogu...
01/28/2020 ∙ by Yue Weng, et al. ∙ 0 ∙ share

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Piero Molino

Featured Co-authors

Yang Wang

Jiawei Zhang

Bing Liu

William L. Hamilton

Andrea Madotto

Jason Yosinski

Lei Shu

Joel Lehman

Hu Xu

Dian Yu

Gokhan Tur

Exploration Based Language Learning for Text-Based Games

Plato Dialogue System: A Flexible Conversational AI Research Platform

Ludwig: a type-based declarative deep learning toolbox

Plug and Play Language Models: a Simple Approach to Controlled Text Generation

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Flexibly-Structured Model for Task-Oriented Dialogues

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

Modeling Multi-Action Policy for Task-Oriented Dialogues

Meta-Graph: Few shot Link Prediction via Meta Learning

Joint Contextual Modeling for ASR Correction and Language Understanding