Shawn Tan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Variational Inference

Speech Recognition

Top Venues

Publications

Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville
Scattered Mixture-of-Experts Implementation. CoRR (2024)
Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
Sparse Universal Transformer. CoRR (2023)
Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
Sparse Universal Transformer. EMNLP (2023)
Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming. VCIP (2023)
Yikang Shen, Zheyu Zhang, Tianyou Cao, Shawn Tan, Zhenfang Chen, Chuang Gan
ModuleFormer: Learning Modular Large Language Models From Uncurated Data. CoRR (2023)
Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming. CoRR (2023)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
Unsupervised Dependency Graph Network. ACL (1) (2022)
Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
Learning to Dequantise with Truncated Flows. ICLR (2022)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT (2021)
Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) (2020)
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville
Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR (2020)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
Explicitly Modeling Syntax in Language Model improves Generalization. CoRR (2020)
Samantha Stranc, Shawn Tan, Kasia Muldner
Scanpaths distinguish problem format in a math cognition task. CogSci (2020)
Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville
Investigating Biases in Textual Entailment Datasets. CoRR (2019)
Shawn Tan, Jo-Anne LeFevre
What strategies do adults use to solve fraction arithmetic problems? CogSci (2019)
Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. NeurIPS (2019)
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio, Joseph Paul Cohen
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. CoRR (2019)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR (2019)
Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. CoRR (2019)
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
Improving Explorability in Variational Inference with Annealed Variational Objectives. NeurIPS (2018)
Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville
Generating Contradictory, Neutral, and Entailing Sentences. CoRR (2018)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR (2018)
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
Improving Explorability in Variational Inference with Annealed Variational Objectives. CoRR (2018)
Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville
Self-organized Hierarchical Softmax. CoRR (2017)
Shawn Tan, Kasia Muldner, Jo-Anne LeFevre
Solution of division by access to multiplication: Evidence from eye tracking. CogSci (2016)
Shawn Tan, Khe Chai Sim
Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition. SLT (2016)
Shawn Tan, Khe Chai Sim
Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition. ICASSP (2016)
Shawn Tan, Khe Chai Sim, Mark J. F. Gales
Improving the interpretability of deep neural networks with stimulated learning. ASRU (2015)