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106 publications
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102 publications
Sewoong Oh
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Pasin Manurangsi
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Yong Jae Lee
50 publications
Ludwig Schmidt
48 publications

∙ 09/13/2023

Language-Conditioned Observation Models for Visual Object Search

Object search is a challenging task because when given complex language ...

0 Thao Nguyen, et al. ∙

∙ 07/31/2023

Guiding Image Captioning Models Toward More Specific Captions

Image captioning is conventionally formulated as the task of generating ...

0 Simon Kornblith, et al. ∙

∙ 07/26/2023

Visual Instruction Inversion: Image Editing via Visual Prompting

Text-conditioned image editing has emerged as a powerful tool for editin...

0 Thao Nguyen, et al. ∙

∙ 07/24/2023

On the Connection between Pre-training Data Diversity and Fine-tuning Robustness

Pre-training has been widely adopted in deep learning to improve model p...

0 Vivek Ramanujan, et al. ∙

∙ 07/19/2023

Improving Multimodal Datasets with Image Captioning

Massive web datasets play a key role in the success of large vision-lang...

0 Thao Nguyen, et al. ∙

∙ 04/27/2023

DataComp: In search of the next generation of multimodal datasets

Large multimodal datasets have been instrumental in recent breakthroughs...

0 Samir Yitzhak Gadre, et al. ∙

∙ 01/10/2023

From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore

Singapore has been striving to improve the provision of healthcare servi...

0 Kaiping Zheng, et al. ∙

∙ 08/10/2022

Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP

Web-crawled datasets have enabled remarkable generalization capabilities...

9 Thao Nguyen, et al. ∙

∙ 08/10/2022

Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks

The COVID-19 pandemic has exposed the vulnerability of healthcare servic...

5 Thao Nguyen, et al. ∙

∙ 08/05/2022

A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals

Sleep apnea (SA) is a type of sleep disorder characterized by snoring an...

19 Anh-Tu Nguyen, et al. ∙

∙ 02/15/2022

On the Origins of the Block Structure Phenomenon in Neural Network Representations

Recent work has uncovered a striking phenomenon in large-capacity neural...

3 Thao Nguyen, et al. ∙

∙ 04/05/2021

Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

Makeup transfer is the task of applying on a source face the makeup styl...

0 Thao Nguyen, et al. ∙

∙ 03/01/2021

FineNet: Frame Interpolation and Enhancement for Face Video Deblurring

The objective of this work is to deblur face videos. We propose a method...

0 Phong Tran, et al. ∙

∙ 11/30/2020

Robust and Private Learning of Halfspaces

In this work, we study the trade-off between differential privacy and ad...

0 Badih Ghazi, et al. ∙

∙ 10/29/2020

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...

73 Thao Nguyen, et al. ∙

∙ 07/09/2020

Concept Bottleneck Models

We seek to learn models that we can interact with using high-level conce...

14 Pang Wei Koh, et al. ∙

∙ 06/23/2020

Robot Object Retrieval with Contextual Natural Language Queries

Natural language object retrieval is a highly useful yet challenging tas...

7 Thao Nguyen, et al. ∙

∙ 12/06/2019

Delegated Proof of Reputation: a novel Blockchain consensus

Consensus mechanism is the heart of any blockchain network. Many project...

0 Thuat Do, et al. ∙

∙ 06/07/2019

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

Despite the high consumption of dietary supplements (DS), there are not ...

0 Rubina F. Rizvi, et al. ∙

∙ 05/30/2019

Grounding Language Attributes to Objects using Bayesian Eigenobjects

We develop a system to disambiguate objects based on simple physical des...

0 Vanya Cohen, et al. ∙

∙ 05/28/2019

Planning with State Abstractions for Non-Markovian Task Specifications

Often times, we specify tasks for a robot using temporal language that c...

0 Yoonseon Oh, et al. ∙

∙ 12/02/2018

Predicting Inpatient Discharge Prioritization With Electronic Health Records

Identifying patients who will be discharged within 24 hours can improve ...

0 Anand Avati, et al. ∙

∙ 11/25/2018

A Fully Private Pipeline for Deep Learning on Electronic Health Records

We introduce an end-to-end private deep learning framework, applied to t...

0 Edward Chou, et al. ∙

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