Radiobot-CFF: a spoken dialogue system for military training. - Antonio Roque; Anton Leuski; Vivek Kumar Rangarajan Sridhar; Susan Robinson; Ashish Vaswani; Shrikanth S. Narayanan; David R. Traum (INTERSPEECH, 2006)

Hassan: A Virtual Human for Tactical Questioning. - David R. Traum; Antonio Roque; Anton Leuski; Panayiotis G. Georgiou; Jillian Gerten; Bilyana Martinovski; Shrikanth Narayanan; Susan Robinson; Ashish Vaswani (SIGdial, 2007)

Efficient Optimization of an MDL-Inspired Objective Function for Unsupervised Part-Of-Speech Tagging. - Ashish Vaswani; Adam Pauls; David Chiang 001 (ACL (2), 2010)

Fast, Greedy Model Minimization for Unsupervised Tagging. - Sujith Ravi; Ashish Vaswani; Kevin Knight; David Chiang 001 (COLING, 2010)

Models and Training for Unsupervised Preposition Sense Disambiguation. - Dirk Hovy; Ashish Vaswani; Stephen Tratz; David Chiang 001; Eduard H. Hovy (ACL (2), 2011)

Rule Markov Models for Fast Tree-to-String Translation. - Ashish Vaswani; Haitao Mi; Liang Huang 001; David Chiang 001 (ACL, 2011)

Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm. - Ashish Vaswani; Liang Huang 001; David Chiang 001 (ACL (1), 2012)

Decoding with Large-Scale Neural Language Models Improves Translation. - Ashish Vaswani; Yinggong Zhao; Victoria Fossum; David Chiang 001 (EMNLP, 2013)

Learning Whom to Trust with MACE. - Dirk Hovy; Taylor Berg-Kirkpatrick; Ashish Vaswani; Eduard H. Hovy (HLT-NAACL, 2013)

Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation. - Qing Dou; Ashish Vaswani; Kevin Knight (EMNLP, 2014)

Aligning context-based statistical models of language with brain activity during reading. - Leila Wehbe; Ashish Vaswani; Kevin Knight; Tom M. Mitchell (EMNLP, 2014)

Unifying Bayesian Inference and Vector Space Models for Improved Decipherment. - Qing Dou; Ashish Vaswani; Kevin Knight; Chris Dyer (ACL (1), 2015)

Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. - Tomer Levinboim; Ashish Vaswani; David Chiang 001 (HLT-NAACL, 2015)

Unsupervised Neural Hidden Markov Models. - Ke M. Tran; Yonatan Bisk; Ashish Vaswani; Daniel Marcu; Kevin Knight (SPNLP@EMNLP, 2016)

Supertagging With LSTMs. - Ashish Vaswani; Yonatan Bisk; Kenji Sagae; Ryan Musa (HLT-NAACL, 2016)

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. - Boliang Zhang; Xiaoman Pan; Tianlu Wang; Ashish Vaswani; Heng Ji 001; Kevin Knight; Daniel Marcu (HLT-NAACL, 2016)

Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies. - Barret Zoph; Ashish Vaswani; Jonathan May; Kevin Knight (HLT-NAACL, 2016)

Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States. - Ashish Vaswani; Kenji Sagae (Trans. Assoc. Comput. Linguistics, 2016)

Attention is All you Need. - Ashish Vaswani; Noam Shazeer; Niki Parmar; Jakob Uszkoreit; Llion Jones; Aidan N. Gomez; Lukasz Kaiser; Illia Polosukhin (NIPS, 2017)

One Model To Learn Them All. - Lukasz Kaiser; Aidan N. Gomez; Noam Shazeer; Ashish Vaswani; Niki Parmar; Llion Jones; Jakob Uszkoreit (CoRR, 2017)

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. - Mia Xu Chen; Orhan Firat; Ankur Bapna; Melvin Johnson; Wolfgang Macherey; George F. Foster; Llion Jones; Mike Schuster; Noam Shazeer; Niki Parmar; Ashish Vaswani; Jakob Uszkoreit; et al. (ACL (1), 2018)

Tensor2Tensor for Neural Machine Translation. - Ashish Vaswani; Samy Bengio; Eugene Brevdo; François Chollet; Aidan N. Gomez; Stephan Gouws; Llion Jones; Lukasz Kaiser; Nal Kalchbrenner; Niki Parmar; Ryan Sepassi; Noam Shazeer; et al. (AMTA (1), 2018)

Fast Decoding in Sequence Models Using Discrete Latent Variables. - Lukasz Kaiser; Samy Bengio; Aurko Roy; Ashish Vaswani; Niki Parmar; Jakob Uszkoreit; Noam Shazeer (ICML, 2018)

Image Transformer. - Niki Parmar; Ashish Vaswani; Jakob Uszkoreit; Lukasz Kaiser; Noam Shazeer; Alexander Ku; Dustin Tran (ICML, 2018)

Self-Attention with Relative Position Representations. - Peter Shaw 004; Jakob Uszkoreit; Ashish Vaswani (NAACL-HLT (2), 2018)

Mesh-TensorFlow: Deep Learning for Supercomputers. - Noam Shazeer; Youlong Cheng; Niki Parmar; Dustin Tran; Ashish Vaswani; Penporn Koanantakool; Peter Hawkins; HyoukJoong Lee; Mingsheng Hong; Cliff Young; Ryan Sepassi; Blake A. Hechtman (NeurIPS, 2018)

Image Transformer. - Niki Parmar; Ashish Vaswani; Jakob Uszkoreit; Lukasz Kaiser; Noam Shazeer; Alexander Ku (CoRR, 2018)

Theory and Experiments on Vector Quantized Autoencoders. - Aurko Roy; Ashish Vaswani; Arvind Neelakantan; Niki Parmar (CoRR, 2018)

Relational inductive biases, deep learning, and graph networks. - Peter W. Battaglia; Jessica B. Hamrick; Victor Bapst; Alvaro Sanchez-Gonzalez; Vinícius Flores Zambaldi; Mateusz Malinowski; Andrea Tacchetti; David Raposo; Adam Santoro; Ryan Faulkner 001; Çaglar Gülçehre; H. Francis Song; et al. (CoRR, 2018)

An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. - Cheng-Zhi Anna Huang; Ashish Vaswani; Jakob Uszkoreit; Noam Shazeer; Curtis Hawthorne; Andrew M. Dai; Matthew D. Hoffman; Douglas Eck (CoRR, 2018)

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation. - Vihan Jain; Gabriel Magalhães 001; Alexander Ku; Ashish Vaswani; Eugene Ie; Jason Baldridge (ACL (1), 2019)

Attention Augmented Convolutional Networks. - Irwan Bello; Barret Zoph; Quoc Le 001; Ashish Vaswani; Jonathon Shlens (ICCV, 2019)

Music Transformer: Generating Music with Long-Term Structure. - Cheng-Zhi Anna Huang; Ashish Vaswani; Jakob Uszkoreit; Ian Simon; Curtis Hawthorne; Noam Shazeer; Andrew M. Dai; Matthew D. Hoffman; Monica Dinculescu; Douglas Eck (ICLR (Poster), 2019)

Stand-Alone Self-Attention in Vision Models. - Niki Parmar; Prajit Ramachandran; Ashish Vaswani; Irwan Bello; Anselm Levskaya; Jonathon Shlens (NeurIPS, 2019)

Bottleneck Transformers for Visual Recognition. - Aravind Srinivas; Tsung-Yi Lin; Niki Parmar; Jonathon Shlens; Pieter Abbeel; Ashish Vaswani (CVPR, 2021)

Scaling Local Self-Attention for Parameter Efficient Visual Backbones. - Ashish Vaswani; Prajit Ramachandran; Aravind Srinivas; Niki Parmar; Blake A. Hechtman; Jonathon Shlens (CVPR, 2021)

Simple and Efficient ways to Improve REALM. - Vidhisha Balachandran; Ashish Vaswani; Yulia Tsvetkov; Niki Parmar (CoRR, 2021)

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (CoRR, 2021)

Efficient Content-Based Sparse Attention with Routing Transformers. - Aurko Roy; Mohammad Saffar; Ashish Vaswani; David Grangier (Trans. Assoc. Comput. Linguistics, 2021)

The Efficiency Misnomer. - Mostafa Dehghani 001; Yi Tay; Anurag Arnab; Lucas Beyer; Ashish Vaswani (ICLR, 2022)

Scale Efficiently: Insights from Pretraining and Finetuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (ICLR, 2022)

Guest Editorial Introduction to the Special Section on Transformer Models in Vision. - Salman H. Khan 001; Fahad Shahbaz Khan; Ashish Vaswani; Niki Parmar; Ming-Hsuan Yang 001; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rethinking Reflection in Pre-Training. - Darsh J. Shah; Peter Rushton; Somanshu Singla; Mohit Parmar; Kurt Smith; Yash Vanjani; Ashish Vaswani; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Anthony M. Polloreno; et al. (CoRR, 2025)

Practical Efficiency of Muon for Pretraining. - Ishaan Shah; Anthony M. Polloreno; Karl Stratos; Philip Monk; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Khoi Nguyen; Kurt Smith; et al. (CoRR, 2025)

Essential-Web v1.0: 24T tokens of organized web data. - Andrew Hojel; Michael Pust; Tim Romanski; Yash Vanjani; Ritvik Kapila; Mohit Parmar; Adarsh Chaluvaraju; Alok Tripathy; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Ishaan Shah; et al. (CoRR, 2025)