AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN
  Accelerators
Mahdi Taheri Natalia Cherezova Samira Nazari Ahsan Rafiq Ali Azarpeyvand Tara Ghasempouri Masoud Daneshtalab Jaan Raik Maksim Jenihhin
In this paper, we propose an architecture of a novel adaptive fault-tolerant
approximate multiplier tailored for ASIC-based DNN accelerators.