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Aditya Rajagopal
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Conference and Workshop Papers
- 2021
- [c4]Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. ICCVW 2021: 963-971 - 2020
- [c3]Aditya Rajagopal, Christos-Savvas Bouganis
:
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CVPR Workshops 2020: 3058-3067 - [c2]Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
:
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. FPL 2020: 317-322 - [c1]Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis:
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. ICML 2020: 7943-7952
Informal and Other Publications
- 2023
- [i6]Aditya Rajagopal, Diederik Adriaan Vink, Jianyi Cheng, Yann Herklotz:
GSA to HDL: Towards principled generation of dynamically scheduled circuits. CoRR abs/2308.11048 (2023) - 2022
- [i5]Aditya Rajagopal, Christos-Savvas Bouganis:
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. CoRR abs/2203.00772 (2022) - 2021
- [i4]Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. CoRR abs/2108.05580 (2021) - 2020
- [i3]Aditya Rajagopal, Christos-Savvas Bouganis:
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CoRR abs/2006.08554 (2020) - [i2]Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis:
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs. CoRR abs/2006.09049 (2020) - [i1]Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis:
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. CoRR abs/2006.13829 (2020)
Coauthor Index
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