Ashish Vaswani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
11
Active years
2006–2022
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | The Efficiency Misnomer. | Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani |
| 2022 | ICLR | Scale Efficiently: Insights from Pretraining and Finetuning Transformers. | Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler |
| 2021 | CVPR | Bottleneck Transformers for Visual Recognition. | Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani |
| 2021 | CVPR | Scaling Local Self-Attention for Parameter Efficient Visual Backbones. | Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens |
| 2019 | ACL | Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation. | Vihan Jain, Gabriel Magalhes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge |
| 2019 | ICCV | Attention Augmented Convolutional Networks. | Irwan Bello, Barret Zoph, Quoc Le, Ashish Vaswani, Jonathon Shlens |
| 2019 | ICLR | 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 |
| 2018 | ACL | 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, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes |
| 2018 | AMTA | Tensor2Tensor for Neural Machine Translation. | Ashish Vaswani, Samy Bengio, Eugene Brevdo, Franois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit |
| 2018 | ICML | Fast Decoding in Sequence Models Using Discrete Latent Variables. | Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer |
| 2018 | ICML | Image Transformer. | Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran |
| 2018 | NAACL | Self-Attention with Relative Position Representations. | Peter Shaw, Jakob Uszkoreit, Ashish Vaswani |
| 2016 | EMNLP | Unsupervised Neural Hidden Markov Models. | Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight |
| 2016 | NAACL | Supertagging With LSTMs. | Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa |
| 2016 | NAACL | Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. | Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu |
| 2016 | NAACL | Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies. | Barret Zoph, Ashish Vaswani, Jonathan May, Kevin Knight |
| 2015 | ACL | Unifying Bayesian Inference and Vector Space Models for Improved Decipherment. | Qing Dou, Ashish Vaswani, Kevin Knight, Chris Dyer |
| 2015 | NAACL | Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. | Tomer Levinboim, Ashish Vaswani, David Chiang |
| 2014 | EMNLP | Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation. | Qing Dou, Ashish Vaswani, Kevin Knight |
| 2014 | EMNLP | Aligning context-based statistical models of language with brain activity during reading. | Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell |
| 2013 | EMNLP | Decoding with Large-Scale Neural Language Models Improves Translation. | Ashish Vaswani, Yinggong Zhao, Victoria Fossum, David Chiang |
| 2013 | NAACL | Learning Whom to Trust with MACE. | Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy |
| 2012 | ACL | Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm. | Ashish Vaswani, Liang Huang, David Chiang |
| 2011 | ACL | Models and Training for Unsupervised Preposition Sense Disambiguation. | Dirk Hovy, Ashish Vaswani, Stephen Tratz, David Chiang, Eduard H. Hovy |
| 2011 | ACL | Rule Markov Models for Fast Tree-to-String Translation. | Ashish Vaswani, Haitao Mi, Liang Huang, David Chiang |
| 2010 | ACL | Efficient Optimization of an MDL-Inspired Objective Function for Unsupervised Part-Of-Speech Tagging. | Ashish Vaswani, Adam Pauls, David Chiang |
| 2010 | COLING | Fast, Greedy Model Minimization for Unsupervised Tagging. | Sujith Ravi, Ashish Vaswani, Kevin Knight, David Chiang |
| 2007 | SIGdial | 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 |
| 2006 | Interspeech | 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 |