A5059518174- Image Enhancement Techniques
- Advanced Neural Network Applications
- Embedded Systems Design Techniques
- Advanced Image and Video Retrieval Techniques
- Parallel Computing and Optimization Techniques
- Domain Adaptation and Few-Shot Learning
Pohang University of Science and Technology
2022
The growing computational demands of AI inference have led to widespread use hardware accelerators for different platforms, spanning from edge the datacenter/cloud. Certain application areas, such as in high-frequency trading (HFT) [1–2], a hard latency deadline successful execution. We present our new accelerator which achieves high capability with outstanding single-stream responsiveness demanding service-layer objective (SLO)-based services and pipelined applications, including large...
Robust quantization improves the tolerance of networks for various implementations, allowing reliable output in different bit-widths or fragmented low-precision arithmetic. In this work, we perform extensive analyses to identify sources error and present three insights robustify a network against quantization: reduction propagation, range clamping minimization, inherited robustness quantization. Based on these insights, propose two novel methods called symmetry regularization (SymReg)...