Niki Parmar

According to our database1, Niki Parmar authored at least 21 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Guest Editorial Introduction to the Special Section on Transformer Models in Vision.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

2022
Decoder Denoising Pretraining for Semantic Segmentation.
Trans. Mach. Learn. Res., 2022

Denoising Pretraining for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Simple and Efficient ways to Improve REALM.
CoRR, 2021

Scaling Local Self-Attention for Parameter Efficient Visual Backbones.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bottleneck Transformers for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Conformer: Convolution-augmented Transformer for Speech Recognition.
Proceedings of the Interspeech 2020, 2020

2019
High Resolution Medical Image Analysis with Spatial Partitioning.
CoRR, 2019

Stand-Alone Self-Attention in Vision Models.
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.
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.
CoRR, 2018

Theory and Experiments on Vector Quantized Autoencoders.
CoRR, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
CoRR, 2018

Image Transformer.
CoRR, 2018

Mesh-TensorFlow: Deep Learning for Supercomputers.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Fast Decoding in Sequence Models Using Discrete Latent Variables.
Proceedings of the 35th International Conference on Machine Learning, 2018

Tensor2Tensor for Neural Machine Translation.
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.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
One Model To Learn Them All.
CoRR, 2017

Attention is All you Need.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


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