Tiancheng Zhao | DeepAI

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Xiaodan Liang
197 publications
William Yang Wang
166 publications
Xin Chen
162 publications
Eric P Xing
147 publications
Zhou Yu
127 publications
Di Wang
126 publications
Peng Liu
107 publications
Yuan Zhou
82 publications
Zhiting Hu
52 publications
Maxine Eskenazi
35 publications
Xuezhe Ma
34 publications

∙ 06/20/2023

RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model

Pre-trained Vision-Language Foundation Models utilizing extensive image-...

0 Zilun Zhang, et al. ∙

∙ 09/30/2022

Assortment Optimization Under the Multivariate MNL Model

We study an assortment optimization problem under a multi-purchase choic...

0 Xin Chen, et al. ∙

∙ 09/10/2022

OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training

Advancing object detection to open-vocabulary and few-shot transfer has ...

15 Tiancheng Zhao, et al. ∙

∙ 08/16/2022

Role of Data Augmentation in Unsupervised Anomaly Detection

Self-supervised learning (SSL) has emerged as a promising alternative to...

0 Jaemin Yoo, et al. ∙

∙ 07/01/2022

VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations

Vision-Language Pretraining (VLP) models have recently successfully faci...

29 Tiancheng Zhao, et al. ∙

∙ 01/06/2021

SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering

Although open-domain question answering (QA) draws great attention in re...

7 Xiaopeng Lu, et al. ∙

∙ 01/01/2021

VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search

Text-to-image retrieval is an essential task in multi-modal information ...

6 Xiaopeng Lu, et al. ∙

∙ 09/28/2020

SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval

We introduce SPARTA, a novel neural retrieval method that shows great pr...

0 Tiancheng Zhao, et al. ∙

∙ 06/10/2020

Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges

This USER Workshop was convened with the goal of defining future researc...

0 Maxine Eskenazi, et al. ∙

∙ 04/04/2020

"None of the Above":Measure Uncertainty in Dialog Response Retrieval

This paper discusses the importance of uncovering uncertainty in end-to-...

0 Yulan Feng, et al. ∙

∙ 07/24/2019

Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References

The aim of this paper is to mitigate the shortcomings of automatic evalu...

0 Prakhar Gupta, et al. ∙

∙ 06/02/2019

Pretraining Methods for Dialog Context Representation Learning

This paper examines various unsupervised pretraining objectives for lear...

0 Shikib Mehri, et al. ∙

∙ 05/28/2019

Target-Guided Open-Domain Conversation

Many real-world open-domain conversation applications have specific goal...

0 Jianheng Tang, et al. ∙

∙ 04/07/2019

Unsupervised Dialog Structure Learning

Learning a shared dialog structure from a set of task-oriented dialogs i...

0 Weiyan Shi, et al. ∙

∙ 02/23/2019

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models

Defining action spaces for conversational agents and optimizing their de...

0 Tiancheng Zhao, et al. ∙

∙ 01/20/2019

Beyond Turing: Intelligent Agents Centered on the User

This paper makes the case that while most research on intelligent agents...

0 Maxine Eskenazi, et al. ∙

∙ 10/31/2018

Dirichlet Variational Autoencoder for Text Modeling

We introduce an improved variational autoencoder (VAE) for text modeling...

0 Yijun Xiao, et al. ∙

∙ 09/04/2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

We introduce Texar, an open-source toolkit aiming to support the broad s...

0 Zhiting Hu, et al. ∙

∙ 05/13/2018

Zero-Shot Dialog Generation with Cross-Domain Latent Actions

This paper introduces zero-shot dialog generation (ZSDG), as a step towa...

0 Tiancheng Zhao, et al. ∙

∙ 05/08/2018

Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog

Creating an intelligent conversational system that understands vision an...

0 Jiaping Zhang, et al. ∙

∙ 04/22/2018

Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation

The encoder-decoder dialog model is one of the most prominent methods us...

0 Tiancheng Zhao, et al. ∙

∙ 06/26/2017

Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability

Generative encoder-decoder models offer great promise in developing doma...

0 Tiancheng Zhao, et al. ∙

∙ 03/31/2017

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

While recent neural encoder-decoder models have shown great promise in m...

0 Tiancheng Zhao, et al. ∙

∙ 10/10/2016

Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog

Social norms are shared rules that govern and facilitate social interact...

0 Tiancheng Zhao, et al. ∙

∙ 06/08/2016

DialPort: Connecting the Spoken Dialog Research Community to Real User Data

This paper describes a new spoken dialog portal that connects systems pr...

0 Tiancheng Zhao, et al. ∙

∙ 06/08/2016

Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

This paper presents an end-to-end framework for task-oriented dialog sys...

0 Tiancheng Zhao, et al. ∙

∙ 03/29/2016

Algorithms for Batch Hierarchical Reinforcement Learning

Hierarchical Reinforcement Learning (HRL) exploits temporal abstraction ...

0 Tiancheng Zhao, et al. ∙

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