Larry Heck | DeepAI

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∙ 09/18/2023

SYNDICOM: Improving Conversational Commonsense with Error-Injection and Natural Language Feedback

Commonsense reasoning is a critical aspect of human communication. Despi...

0 Christopher Richardson, et al. ∙

∙ 03/21/2023

cTBL: Augmenting Large Language Models for Conversational Tables

An open challenge in multimodal conversational AI requires augmenting la...

0 Anirudh S Sundar, et al. ∙

∙ 02/15/2023

Commonsense Reasoning for Conversational AI: A Survey of the State of the Art

Large, transformer-based pretrained language models like BERT, GPT, and ...

0 Christopher Richardson, et al. ∙

∙ 05/13/2022

Multimodal Conversational AI: A Survey of Datasets and Approaches

As humans, we experience the world with all our senses or modalities (so...

0 Anirudh Sundar, et al. ∙

∙ 03/30/2021

Grounding Open-Domain Instructions to Automate Web Support Tasks

Grounding natural language instructions on the web to perform previously...

2 Nancy Xu, et al. ∙

∙ 11/24/2020

Zero-Shot Visual Slot Filling as Question Answering

This paper presents a new approach to visual zero-shot slot filling. The...

0 Larry Heck, et al. ∙

∙ 12/22/2019

end-to-end training of a large vocabulary end-to-end speech recognition system

In this paper, we present an end-to-end training framework for building ...

7 Chanwoo Kim, et al. ∙

∙ 03/26/2019

Efficient Incremental Learning for Mobile Object Detection

Object detection models shipped with camera-equipped mobile devices cann...

8 Dawei Li, et al. ∙

∙ 03/19/2019

Class-incremental Learning via Deep Model Consolidation

Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...

12 Junting Zhang, et al. ∙

∙ 02/26/2019

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation

The key challenge of generative Visual Dialogue (VD) systems is to respo...

8 Heming Zhang, et al. ∙

∙ 04/18/2018

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

In this work, we present a hybrid learning method for training task-orie...

0 Bing Liu, et al. ∙

∙ 01/15/2018

Building a Conversational Agent Overnight with Dialogue Self-Play

We propose Machines Talking To Machines (M2M), a framework combining aut...

0 Pararth Shah, et al. ∙

∙ 12/29/2017

Scalable Multi-Domain Dialogue State Tracking

Dialogue state tracking (DST) is a key component of task-oriented dialog...

0 Abhinav Rastogi, et al. ∙

∙ 12/22/2017

Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning

We present a framework combining hierarchical and multi-agent deep reinf...

0 Saurabh Kumar, et al. ∙

∙ 11/29/2017

End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning

In this paper, we present a neural network based task-oriented dialogue ...

0 Bing Liu, et al. ∙

∙ 07/07/2017

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling

State-of-the-art slot filling models for goal-oriented human/machine con...

0 Ankur Bapna, et al. ∙

∙ 06/14/2017

Learning and Evaluating Musical Features with Deep Autoencoders

In this work we describe and evaluate methods to learn musical embedding...

0 Mason Bretan, et al. ∙

∙ 05/08/2017

Sequential Dialogue Context Modeling for Spoken Language Understanding

Spoken Language Understanding (SLU) is a key component of goal oriented ...

0 Ankur Bapna, et al. ∙

∙ 12/12/2016

A Unit Selection Methodology for Music Generation Using Deep Neural Networks

Several methods exist for a computer to generate music based on data inc...

0 Mason Bretan, et al. ∙

∙ 06/25/2016

Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems

Training statistical dialog models in spoken dialog systems (SDS) requir...

0 Lu Wang, et al. ∙

∙ 04/01/2016

Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding

The goal of this paper is to use multi-task learning to efficiently scal...

0 Aaron Jaech, et al. ∙

∙ 02/19/2016

Contextual LSTM (CLSTM) models for Large scale NLP tasks

Documents exhibit sequential structure at multiple levels of abstraction...

0 Shalini Ghosh, et al. ∙

∙ 04/28/2015

Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation

Entity Disambiguation aims to link mentions of ambiguous entities to a k...

0 Hongzhao Huang, et al. ∙

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