Parichay Kapoor

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Pruning Algorithm

Lossless Compression

Top Venues

ICSE (Workshops)

Publications

Ji Joong Moon, Parichay Kapoor, Ji-Hoon Lee, MyungJoo Ham, Hyun Suk Lee
NNTrainer: Light-Weight On-Device Training Framework. CoRR (2022)
MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee
NNStreamer: Efficient and Agile Development of On-Device AI Systems. CoRR (2021)
MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee
NNStreamer: Efficient and Agile Development of On-Device AI Systems. ICSE (SEIP) (2021)
Dongju Chae, Parichay Kapoor
Centralized Generic Interfaces in Hardware/Software Co-design for AI Accelerators. ICSE (Workshops) (2020)
Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. CVPR (2020)
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei
Network Pruning for Low-Rank Binary Indexing. CoRR (2019)
Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. CoRR (2019)
Dongsoo Lee, Parichay Kapoor, Byeongwook Kim
DeepTwist: Learning Model Compression via Occasional Weight Distortion. CoRR (2018)
James R. Geraci, Parichay Kapoor
A method of limiting performance loss of CNNs in noisy environments. CoRR (2017)