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06/08/2023
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
We present AircraftVerse, a publicly available aerial vehicle design dat...
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03/20/2023
Automatic Measures for Evaluating Generative Design Methods for Architects
The recent explosion of high-quality image-to-image methods has prompted...
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12/11/2022
DiffAlign : Few-shot learning using diffusion based synthesis and alignment
We address the problem of few-shot classification where the goal is to l...
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11/11/2022
Design of Unmanned Air Vehicles Using Transformer Surrogate Models
Computer-aided design (CAD) is a promising new area for the application ...
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07/24/2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
Machine learning models are prone to making incorrect predictions on inp...
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06/20/2022
Multiple Testing Framework for Out-of-Distribution Detection
We study the problem of Out-of-Distribution (OOD) detection, that is, de...
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02/11/2022
Detecting out-of-context objects using contextual cues
This paper presents an approach to detect out-of-context (OOC) objects i...
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01/07/2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
Machine learning methods such as deep neural networks (DNNs), despite th...
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08/13/2021
Detecting OODs as datapoints with High Uncertainty
Deep neural networks (DNNs) are known to produce incorrect predictions w...
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03/29/2021
Online Defense of Trojaned Models using Misattributions
This paper proposes a new approach to detecting neural Trojans on Deep N...
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03/23/2021
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs
Deep neural networks (DNNs) are known to produce incorrect predictions w...
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12/03/2020
Detecting Trojaned DNNs Using Counterfactual Attributions
We target the problem of detecting Trojans or backdoors in DNNs. Such mo...
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03/27/2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
We address the problem of grounding free-form textual phrases by using w...
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07/04/2018
