Aditya Rajagopal

According to our database, Aditya Rajagopal authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

GSA to HDL: Towards principled generation of dynamically scheduled circuits.

Aditya Rajagopal, Diederik Adriaan Vink, Jianyi Cheng, Yann Herklotz

CoRR, 2023

2022

Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices.

Aditya Rajagopal, Christos-Savvas Bouganis

CoRR, 2022

2021

perf4sight: A toolflow to model CNN training performance on Edge GPUs.

Aditya Rajagopal, Christos-Savvas Bouganis

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

2020

Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs.

Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis

Proceedings of the 37th International Conference on Machine Learning, 2020

Caffe Barista: Brewing Caffe with FPGAs in the Training Loop.

Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge.

Aditya Rajagopal, Christos-Savvas Bouganis

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020