Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems. Zhang, B., Chen, C., & Verma, N. In ICML, 2024. OpenReview.net.
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems. [link]Link  Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems. [link]Paper  bibtex   
@inproceedings{conf/icml/ZhangCV24,
  added-at = {2024-09-02T00:00:00.000+0200},
  author = {Zhang, Bonan and Chen, Chia-Yu and Verma, Naveen},
  biburl = {https://www.bibsonomy.org/bibtex/2aec36b91635942bd62b23386b0c53848/dblp},
  booktitle = {ICML},
  crossref = {conf/icml/2024},
  ee = {https://openreview.net/forum?id=fM9xTkpAdu},
  interhash = {62f2a6aa03b1692e17d9a7bef0e88d31},
  intrahash = {aec36b91635942bd62b23386b0c53848},
  keywords = {dblp},
  publisher = {OpenReview.net},
  timestamp = {2024-09-09T07:12:59.000+0200},
  title = {Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems.},
  url = {http://dblp.uni-trier.de/db/conf/icml/icml2024.html#ZhangCV24},
  year = 2024
}

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