William Wang

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Penn State University ∙ The Regents of the University of California

FoveaTer: Foveated Transformer for Image Classification

Many animals and humans process the visual field with a varying spatial ...
05/29/2021 ∙ by Aditya Jonnalagadda, et al. ∙ 0 ∙ share

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Open Question Answering over Tables and Text

In open question answering (QA), the answer to a question is produced by...
10/20/2020 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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The gem5 Simulator: Version 20.0+

The open-source and community-supported gem5 simulator is one of the mos...
07/07/2020 ∙ by Jason Lowe-Power, et al. ∙ 0 ∙ share

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GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models

Generative adversarial networks (GANs) learn the distribution of observe...
06/18/2020 ∙ by Farzan Farnia, et al. ∙ 35 ∙ share

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HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Existing question answering datasets focus on dealing with homogeneous i...
04/15/2020 ∙ by Wenhu Chen, et al. ∙ 1 ∙ share

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Meta Module Network for Compositional Visual Reasoning

There are two main lines of research on visual reasoning: neural module ...
10/08/2019 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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Fine-tune Bert for DocRED with Two-step Process

Modelling relations between multiple entities has attracted increasing a...
09/26/2019 ∙ by Hong Wang, et al. ∙ 0 ∙ share

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How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

With the rapid development in deep learning, deep neural networks have b...
02/27/2019 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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Scene Graph Generation via Conditional Random Fields

Despite the great success object detection and segmentation models have ...
11/20/2018 ∙ by Weilin Cong, et al. ∙ 6 ∙ share

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Enhancing the Robustness of Prior Network in Out-of-Distribution Detection

With the recent surge of interests in deep neural networks, more real-wo...
11/18/2018 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings

Many knowledge graph embedding methods operate on triples and are theref...
11/01/2018 ∙ by Hao Yu, et al. ∙ 4 ∙ share

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Variational Knowledge Graph Reasoning

Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
03/17/2018 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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Safer Classification by Synthesis

The discriminative approach to classification using deep neural networks...
11/22/2017 ∙ by William Wang, et al. ∙ 0 ∙ share

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William Wang

Featured Co-authors

Xin Wang

Pieter Abbeel

Xi Chen

Yu Cheng

Zhe Gan

Jingjing Liu

Ali Jadbabaie

William W. Cohen

Aviv Tamar

Tushar Krishna

Hong Wang

FoveaTer: Foveated Transformer for Image Classification

Open Question Answering over Tables and Text

The gem5 Simulator: Version 20.0+

GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Meta Module Network for Compositional Visual Reasoning

Fine-tune Bert for DocRED with Two-step Process

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

Scene Graph Generation via Conditional Random Fields

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection

MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings

Variational Knowledge Graph Reasoning

Safer Classification by Synthesis