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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-...
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09/30/2022
Assortment Optimization Under the Multivariate MNL Model
We study an assortment optimization problem under a multi-purchase choic...
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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 ...
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08/16/2022
Role of Data Augmentation in Unsupervised Anomaly Detection
Self-supervised learning (SSL) has emerged as a promising alternative to...
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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...
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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...
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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 ...
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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...
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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...
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04/04/2020
"None of the Above":Measure Uncertainty in Dialog Response Retrieval
This paper discusses the importance of uncovering uncertainty in end-to-...
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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...
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06/02/2019
Pretraining Methods for Dialog Context Representation Learning
This paper examines various unsupervised pretraining objectives for lear...
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05/28/2019
Target-Guided Open-Domain Conversation
Many real-world open-domain conversation applications have specific goal...
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04/07/2019
Unsupervised Dialog Structure Learning
Learning a shared dialog structure from a set of task-oriented dialogs i...
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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...
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01/20/2019
Beyond Turing: Intelligent Agents Centered on the User
This paper makes the case that while most research on intelligent agents...
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10/31/2018
Dirichlet Variational Autoencoder for Text Modeling
We introduce an improved variational autoencoder (VAE) for text modeling...
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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...
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05/13/2018
Zero-Shot Dialog Generation with Cross-Domain Latent Actions
This paper introduces zero-shot dialog generation (ZSDG), as a step towa...
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05/08/2018
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog
Creating an intelligent conversational system that understands vision an...
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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...
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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...
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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...
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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...
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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...
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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...
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03/29/2016
