Parmar, Niki
Google (United States)
8 papers on CoChat
Most cited papers
- Verified
Attention Is All You Need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 120,404
- Verified
Conformer: Convolution-augmented Transformer for Speech Recognition
Gulati, A., Qin, J., Chiu, C.-C., Parmar, N., Zhang, Y., Yu, J., Han, W., Wang, S., Zhang, Z., Wu, Y., et al. (2020) · Interspeech 2020
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 3,150
- Verified
Conformer: Convolution-augmented Transformer for Speech Recognition
Gulati, A., Qin, J., Chiu, C.-C., Parmar, N., Zhang, Y., Yu, J., Han, W., Wang, S., Zhang, Z., Wu, Y., et al. (2020) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 3,150
- Verified
Bottleneck Transformers for Visual Recognition
Srinivas, A., Lin, T.-Y., Parmar, N., Shlens, J., Abbeel, P., & Vaswani, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 1,385
- Verified
Image transformer
Parmar, N., Vaswani, A., Uszkoreit, J., Kaiser, Ł., Shazeer, N., Ku, A., & Tran, D. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 1,085
- Verified
Stand-Alone Self-Attention in Vision Models
Ramachandran, P., Parmar, N., Vaswani, A., Bello, I., Levskaya, A., & Shlens, J. (2019) · arXiv
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 977
- Verified
One Model To Learn Them All
Kaiser, L., Gomez, A. N., Shazeer, N., Vaswani, A., Parmar, N., Jones, L., & Uszkoreit, J. (2017) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 253
- Verified
Denoising Pretraining for Semantic Segmentation
Brempong, E. A., Kornblith, S., Chen, T., Parmar, N., Minderer, M., & Norouzi, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 120
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free