Singh, Vikas

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention

Xiong, Y., Zeng, Z., Chakraborty, R., Tan, M., Fung, G., Li, Y., & Singh, V. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 376

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Xiong, Y., Liu, H., Gupta, S., Akin, B., Bender, G., Wang, Y., Kindermans, P.-J., Tan, M., Singh, V., & Chen, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 193

MKL for robust multi-modality AD classification

Hinrichs, C., Singh, V., Xu, G., & Johnson, S. (2009) · Lecture Notes in Computer Science

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 74

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?

Xiong, Y., Mehta, R., & Singh, V. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 31

A Biresolution Spectral Framework for Product Quantization

Mukherjee, L., Peng, J., Ravi, S. N., & Singh, V. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesAdvanced Data Compression Techniques

Cited by 2