Aaron Traylor - RankMe

11 papers A* 1B 1Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CogSci Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick
2024	J	`jnl`	Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks. CoRR Aaron Traylor, Jack Merullo, Michael J. Frank, Ellie Pavlick
2023	A*	`conf`	Can Neural Networks Learn Implicit Logic from Physical Reasoning? ICLR Aaron Traylor, Roman Feiman, Ellie Pavlick
2022	J	`jnl`	Learning Reduplication with a Neural Network that Lacks Explicit Variables. J. Lang. Model. Brandon Prickett, Aaron Traylor, Joe Pater
2021	—	`conf`	AND does not mean OR: Using Formal Languages to Study Language Models' Representations. ACL/IJCNLP (2) Aaron Traylor, Roman Feiman, Ellie Pavlick
2020	J	`jnl`	Enhancing Review Comprehension with Domain-Specific Commonsense. CoRR Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan
2020	—	`conf`	Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications. AKBC Nikita Bhutani, Aaron Traylor, Chen Chen, Xiaolan Wang, Behzad Golshan, Wang-Chiew Tan
2019	—	`conf`	Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL (1) Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2019	J	`jnl`	Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum
2017	—	`conf`	Learning String Alignments for Entity Aliases. AKBC@NIPS Aaron Traylor, Nicholas Monath, Rajarshi Das, Andrew McCallum
2016	—	`conf`	Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. TAC Haw-Shiuan Chang, Abdurrahman Munir, Ao Liu, Johnny Tian-Zheng Wei, Aaron Traylor, Ajay Nagesh, Nicholas Monath, Patrick Verga, Emma Strubell, Andrew McCallum