Thao Nguyen

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Brown University ∙ Stanford University

Robust and Private Learning of Halfspaces

In this work, we study the trade-off between differential privacy and ad...
11/30/2020 ∙ by Badih Ghazi, et al. ∙ 0 ∙ share

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Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

A key factor in the success of deep neural networks is the ability to sc...
10/29/2020 ∙ by Thao Nguyen, et al. ∙ 73 ∙ share

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Concept Bottleneck Models

We seek to learn models that we can interact with using high-level conce...
07/09/2020 ∙ by Pang Wei Koh, et al. ∙ 14 ∙ share

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Robot Object Retrieval with Contextual Natural Language Queries

Natural language object retrieval is a highly useful yet challenging tas...
06/23/2020 ∙ by Thao Nguyen, et al. ∙ 7 ∙ share

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Delegated Proof of Reputation: a novel Blockchain consensus

Consensus mechanism is the heart of any blockchain network. Many project...
12/06/2019 ∙ by Thuat Do, et al. ∙ 0 ∙ share

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Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements

Despite the high consumption of dietary supplements (DS), there are not ...
06/07/2019 ∙ by Rubina F. Rizvi, et al. ∙ 0 ∙ share

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Grounding Language Attributes to Objects using Bayesian Eigenobjects

We develop a system to disambiguate objects based on simple physical des...
05/30/2019 ∙ by Vanya Cohen, et al. ∙ 0 ∙ share

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Planning with State Abstractions for Non-Markovian Task Specifications

Often times, we specify tasks for a robot using temporal language that c...
05/28/2019 ∙ by Yoonseon Oh, et al. ∙ 0 ∙ share

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Predicting Inpatient Discharge Prioritization With Electronic Health Records

Identifying patients who will be discharged within 24 hours can improve ...
12/02/2018 ∙ by Anand Avati, et al. ∙ 0 ∙ share

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A Fully Private Pipeline for Deep Learning on Electronic Health Records

We introduce an end-to-end private deep learning framework, applied to t...
11/25/2018 ∙ by Edward Chou, et al. ∙ 0 ∙ share

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Thao Nguyen

Featured Co-authors

Rui Zhang

Li Fei-Fei

Percy Liang

Pasin Manurangsi

Jiang Bian

Been Kim

Meng Zhang

Ravi Kumar

George Konidaris

Stefanie Tellex

Simon Kornblith

Robust and Private Learning of Halfspaces

Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Concept Bottleneck Models

Robot Object Retrieval with Contextual Natural Language Queries

Delegated Proof of Reputation: a novel Blockchain consensus

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements

Grounding Language Attributes to Objects using Bayesian Eigenobjects

Planning with State Abstractions for Non-Markovian Task Specifications

Predicting Inpatient Discharge Prioritization With Electronic Health Records

A Fully Private Pipeline for Deep Learning on Electronic Health Records