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James Lucas

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LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis

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Mar 22, 2024
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

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Graph Metanetworks for Processing Diverse Neural Architectures

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Dec 07, 2023
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

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ATT3D: Amortized Text-to-3D Object Synthesis

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Jun 06, 2023
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas

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Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting

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Feb 09, 2023
Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas

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The Calibration Generalization Gap

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Oct 06, 2022
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran

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Optimizing Data Collection for Machine Learning

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Oct 03, 2022
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law

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How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

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Jul 13, 2022
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

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Causal Scene BERT: Improving object detection by searching for challenging groups of data

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Feb 08, 2022
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

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Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

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Apr 23, 2021
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse

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Flexible Few-Shot Learning with Contextual Similarity

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Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

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