Search Results - "Blanchard, Nathaniel"

Leveraging linear mapping for model-agnostic adversarial defense by Jamil, Huma, Liu, Yajing, Blanchard, Nathaniel, Kirby, Michael, Peterson, Chris

“…In the ever-evolving landscape of deep learning, novel designs of neural network architectures have been thought to drive progress by enhancing embedded…”
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Exploring fMRI RDMs: enhancing model robustness through neurobiological data by Pickard, William, Sikes, Kelsey, Jamil, Huma, Chaffee, Nicholas, Blanchard, Nathaniel, Kirby, Michael, Peterson, Chris

“…Artificial neural networks (ANNs) are sensitive to perturbations and adversarial attacks. One hypothesized solution to adversarial robustness is to align…”
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When Text and Speech are Not Enough: A Multimodal Dataset of Collaboration in a Situated Task by Khebour, Ibrahim, Brutti, Richard, Dey, Indrani, Dickler, Rachel, Sikes, Kelsey, Lai, Kenneth, Bradford, Mariah, Cates, Brittany, Hansen, Paige, Jung, Changsoo, Wisniewski, Brett, Terpstra, Corbyn, Hirshfield, Leanne, Puntambekar, Sadhana, Blanchard, Nathaniel, Pustejovsky, James, Krishnaswamy, Nikhil

“…To adequately model information exchanged in real human-human interactions, considering speech or text alone leaves out many critical modalities. The channels…”
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Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction by Chaabane, Mohamed, Trabelsi, Ameni, Blanchard, Nathaniel, Beveridge, Ross

“…In this paper, we present an end-to-end future-prediction model that focuses on pedestrian safety. Specifically, our model uses previous video frames, recorded…”
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Automatically detecting task-unrelated thoughts during conversations using keystroke analysis by Kuvar, Vishal, Blanchard, Nathaniel, Colby, Alexander, Allen, Laura, Mills, Caitlin

“…Task-unrelated thought (TUT), commonly referred to as mind wandering, is a mental state where a person’s attention moves away from the task-at-hand. This state…”
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A Pose Proposal and Refinement Network for Better 6D Object Pose Estimation by Trabelsi, Ameni, Chaabane, Mohamed, Blanchard, Nathaniel, Beveridge, Ross

“…In this paper, we present a novel, end-to-end 6D object pose estimation method that operates on RGB inputs. Our approach is composed of 2 main components: the…”
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Canonical Face Embeddings by McNeely-White, David, Sattelberg, Ben, Blanchard, Nathaniel, Beveridge, Ross

“…We present evidence that many common convolutional neural networks (CNNs) trained for face verification learn functions that are nearly equivalent under…”
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A Rare Transverse Colon Hiatal Herniation as a Complication of an Esophagectomy by Cummings, Abby L, Blanchard, Nathaniel G, Farnum, Jenna, Packard, Tristan D, Geske, Nicole L, Bradley, Libby J, McMillan, William

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A Neurobiological Evaluation Metric for Neural Network Model Search by Blanchard, Nathaniel, Kinnison, Jeffery, RichardWebster, Brandon, Bashivan, Pouya, Scheirer, Walter J.

“…Neuroscience theory posits that the brain's visual system coarsely identifies broad object categories via neural activation patterns, with similar objects…”
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Quantifying Internal Representation for Use in Model Search by Blanchard, Nathaniel T

“…Machine learning models are expected to work across a variety of settings, or inputs, with reasonable performance. A model that does not exhibit reliability…”
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Utilizing Network Features to Detect Erroneous Inputs by Gorbett, Matt, Blanchard, Nathaniel

“…Neural networks are vulnerable to a wide range of erroneous inputs such as corrupted, out-of-distribution, misclassified, and adversarial examples. Previously,…”
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Utilizing Network Properties to Detect Erroneous Inputs by Gorbett, Matt, Blanchard, Nathaniel

“…Neural networks are vulnerable to a wide range of erroneous inputs such as adversarial, corrupted, out-of-distribution, and misclassified examples. In this…”
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Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues by Nath, Abhijnan, Venkatesha, Videep, Bradford, Mariah, Chelle, Avyakta, Youngren, Austin, Mabrey, Carlos, Blanchard, Nathaniel, Krishnaswamy, Nikhil

“…Question-asking in collaborative dialogue has long been established as key to knowledge construction, both in internal and collaborative problem solving. In…”
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Motion Prediction Performance Analysis for Autonomous Driving Systems and the Effects of Tracking Noise by Trabelsi, Ameni, Beveridge, Ross J, Blanchard, Nathaniel

“…Autonomous driving consists of a multitude of interacting modules, where each module must contend with errors from the others. Typically, the motion prediction…”
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A Computer Vision Method for Estimating Velocity from Jumps by Roy, Soumyadip, Roygaga, Chaitanya, Blanchard, Nathaniel, Bharati, Aparna

“…2nd Workshop on Computer Vision for Winter Sports 2023 Athletes routinely undergo fitness evaluations to evaluate their training progress. Typically, these…”
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Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection by Jamil, Huma, Liu, Yajing, Caglar, Turgay, Cole, Christina, Blanchard, Nathaniel, Peterson, Christopher, Kirby, Michael

“…Researchers typically investigate neural network representations by examining activation outputs for one or more layers of a network. Here, we investigate the…”
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Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles by Nath, Abhijnan, Jamil, Huma, Ahmed, Shafiuddin Rehan, Baker, George, Ghosh, Rahul, Martin, James H, Blanchard, Nathaniel, Krishnaswamy, Nikhil

“…Event coreference resolution (ECR) is the task of determining whether distinct mentions of events within a multi-document corpus are actually linked to the…”
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How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid? by Terpstra, Corbyn, Khebour, Ibrahim, Bradford, Mariah, Wisniewski, Brett, Krishnaswamy, Nikhil, Blanchard, Nathaniel

“…Collaborative problem solving (CPS) in teams is tightly coupled with the creation of shared meaning between participants in a situated, collaborative task. In…”
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Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection by Jamil, Huma, Liu, Yajing, Caglar, Turgay, Cole, Christina M, Blanchard, Nathaniel, Peterson, Christopher, Kirby, Michael

“…Researchers typically investigate neural network representations by examining activation outputs for one or more layers of a network. Here, we investigate the…”
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Canonical Face Embeddings by McNeely-White, David, Sattelberg, Ben, Blanchard, Nathaniel, Beveridge, Ross

“…We present evidence that many common convolutional neural networks (CNNs) trained for face verification learn functions that are nearly equivalent under…”
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