Niki Parmar

According to our database, Niki Parmar authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Guest Editorial Introduction to the Special Section on Transformer Models in Vision.

Salman H. Khan, Fahad Shahbaz Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

2022

Decoder Denoising Pretraining for Semantic Segmentation.

Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

Trans. Mach. Learn. Res., 2022

Denoising Pretraining for Semantic Segmentation.

Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Simple and Efficient ways to Improve REALM.

Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar

CoRR, 2021

Scaling Local Self-Attention for Parameter Efficient Visual Backbones.

Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bottleneck Transformers for Visual Recognition.

Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Conformer: Convolution-augmented Transformer for Speech Recognition.

Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

High Resolution Medical Image Analysis with Spatial Partitioning.

Le Hou, Youlong Cheng, Noam Shazeer, Niki Parmar, Yeqing Li, Panagiotis Korfiatis, Travis M. Drucker, Daniel J. Blezek, Xiaodan Song

CoRR, 2019

Stand-Alone Self-Attention in Vision Models.

Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Corpora Generation for Grammatical Error Correction.

Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Weakly Supervised Grammatical Error Correction using Iterative Decoding.

Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar

CoRR, 2018

Theory and Experiments on Vector Quantized Autoencoders.

Aurko Roy, Ashish Vaswani, Arvind Neelakantan, Niki Parmar

CoRR, 2018

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, Niki Parmar, Mike Schuster, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2018

Image Transformer.

Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Image Transformer.

Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran

Proceedings of the 35th International Conference on Machine Learning, 2018

Fast Decoding in Sequence Models Using Discrete Latent Variables.

Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer

Proceedings of the 35th International Conference on Machine Learning, 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, Jakob Uszkoreit

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

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

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

One Model To Learn Them All.

Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit

CoRR, 2017

Attention is All you Need.

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017