Shyam A. Tailor

According to our database, Shyam A. Tailor authored at least 7 papers between 2020 and 2022.

Collaborative distances:

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

2022

Do We Need Anisotropic Graph Neural Networks?

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane

CoRR, 2021

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.

Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.

Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Are Accelerometers for Activity Recognition a Dead-end?

Catherine Tong, Shyam A. Tailor, Nicholas D. Lane

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

A first step towards on-device monitoring of body sounds in the wild.

Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020