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Shawn Tan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

9

Active years

2015–2025

Best venue rank

A*

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRScaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study.Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen
2023EMNLPSparse Universal Transformer.Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
2023ICMVCattleDeSegNet: a joint approach to cattle denoising and interpretable segmentation.Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan
2023VCIPCattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming.Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
2022ACLUnsupervised Dependency Graph Network.Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
2022ICLRLearning to Dequantise with Truncated Flows.Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
2021NAACLExplicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle.Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2020CogSciScanpaths distinguish problem format in a math cognition task.Samantha Stranc, Shawn Tan, Kasia Muldner
2020EMNLPRecursive Top-Down Production for Sentence Generation with Latent Trees.Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
2019CogSciWhat strategies do adults use to solve fraction arithmetic problems?Shawn Tan, Jo-Anne LeFevre
2019ICLROrdered Neurons: Integrating Tree Structures into Recurrent Neural Networks.Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2016CogSciSolution of division by access to multiplication: Evidence from eye tracking.Shawn Tan, Kasia Muldner, Jo-Anne LeFevre
2016ICASSPTowards implicit complexity control using variable-depth deep neural networks for automatic speech recognition.Shawn Tan, Khe Chai Sim
2015ASRUImproving the interpretability of deep neural networks with stimulated learning.Shawn Tan, Khe Chai Sim, Mark J. F. Gales