Shawn Tan - RankMe

38 papers A* 5B 3C 3Misc 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	M CoRR Mayank Mishra, Shawn Tan, Ion Stoica, Joseph Gonzalez, Tri Dao
2025	J	`jnl`	Distilling to Hybrid Attention Models via KL-Guided Layer Selection. CoRR Yanhong Li, Songlin Yang, Shawn Tan, Mayank Mishra, Rameswar Panda, Jiawei Zhou, Yoon Kim
2025	J	`jnl`	Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen
2025	J	`jnl`	PaTH Attention: Position Encoding via Accumulating Householder Transformations. CoRR Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
2025	A*	`conf`	Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. ICLR Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen
2025	J	`jnl`	TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments. CoRR Zhangchen Xu, Adriana Meza Soria, Shawn Tan, Anurag Roy, Ashish Sunil Agrawal, Radha Poovendran, Rameswar Panda
2024	—	`conf`	MTYOLO: A Multi-Task Model to Concurrently Obtain the Vital Characteristics of Individuals or Animals. ICME Workshops Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
2024	J	`jnl`	Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. CoRR Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda
2024	J	`jnl`	Scattered Mixture-of-Experts Implementation. CoRR Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville
2024	J	`jnl`	Stick-breaking Attention. CoRR Shawn Tan, Yikang Shen, Songlin Yang, Aaron C. Courville, Rameswar Panda
2023	C	`conf`	CattleDeSegNet: a joint approach to cattle denoising and interpretable segmentation. ICMV Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan
2023	C	`conf`	CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming. VCIP Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
2023	J	`jnl`	CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming. CoRR Kian Eng Ong, Sivaji Retta, Ramarajulu Srinivasan, Shawn Tan, Jun Liu
2023	J	`jnl`	ModuleFormer: Learning Modular Large Language Models From Uncurated Data. CoRR Yikang Shen, Zheyu Zhang, Tianyou Cao, Shawn Tan, Zhenfang Chen, Chuang Gan
2023	A*	`conf`	Sparse Universal Transformer. EMNLP Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
2023	J	`jnl`	Sparse Universal Transformer. CoRR Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
2022	A*	`conf`	Learning to Dequantise with Truncated Flows. ICLR Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
2022	—	`conf`	Unsupervised Dependency Graph Network. ACL (1) Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
2021	—	`conf`	Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2020	J	`jnl`	Explicitly Modeling Syntax in Language Model improves Generalization. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2020	—	`conf`	Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
2020	J	`jnl`	Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville
2020	B	`conf`	Scanpaths distinguish problem format in a math cognition task. CogSci Samantha Stranc, Shawn Tan, Kasia Muldner
2019	J	`jnl`	Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. CoRR Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio, Joseph Paul Cohen
2019	J	`jnl`	Investigating Biases in Textual Entailment Datasets. CoRR Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville
2019	A*	`conf`	Ordered Memory. NeurIPS Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	J	`jnl`	Ordered Memory. CoRR Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	—	`conf`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2019	B	`conf`	What strategies do adults use to solve fraction arithmetic problems? CogSci Shawn Tan, Jo-Anne LeFevre
2018	J	`jnl`	Generating Contradictory, Neutral, and Entailing Sentences. CoRR Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville
2018	A*	`conf`	Improving Explorability in Variational Inference with Annealed Variational Objectives. NeurIPS Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
2018	J	`jnl`	Improving Explorability in Variational Inference with Annealed Variational Objectives. CoRR Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville
2018	J	`jnl`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2017	J	`jnl`	Self-organized Hierarchical Softmax. CoRR Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville
2016	—	`conf`	Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition. SLT Shawn Tan, Khe Chai Sim
2016	B	`conf`	Solution of division by access to multiplication: Evidence from eye tracking. CogSci Shawn Tan, Kasia Muldner, Jo-Anne LeFevre
2016	Misc	`conf`	Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition. ICASSP Shawn Tan, Khe Chai Sim
2015	C	`conf`	Improving the interpretability of deep neural networks with stimulated learning. ASRU Shawn Tan, Khe Chai Sim, Mark J. F. Gales