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SimCURL: Simple Contrastive User Representation Learning from Command Sequences


Jul 29, 2022
Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen


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Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness


Jul 04, 2022
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani


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COIL: Constrained Optimization in Learned Latent Space -- Learning Representations for Valid Solutions


Feb 07, 2022
Peter J Bentley, Soo Ling Lim, Adam Gaier, Linh Tran

* 10 pages 

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JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints


Nov 24, 2021
Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik


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Group-disentangled Representation Learning with Weakly-Supervised Regularization


Oct 23, 2021
Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari


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Cauchy-Schwarz Regularized Autoencoder


Feb 12, 2021
Linh Tran, Maja Pantic, Marc Peter Deisenroth


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Noise-robust classification with hypergraph neural network


Feb 03, 2021
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran

* 9 page, 1 figure 

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The Medical Scribe: Corpus Development and Model Performance Analyses


Mar 12, 2020
Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul

* Proceedings of Language Resources and Evaluation, 2020 
* Extended version of the paper accepted at LREC 2020 

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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks


Feb 07, 2020
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin


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