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2020 – today
- 2023
[i6]Stone Yun, Alexander Wong:
GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks. CoRR abs/2309.13773 (2023)- 2022
- [i5]Harry Nguyen, Stone Yun, Hisham Mohammad:
Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words. CoRR abs/2201.03556 (2022) - [i4]Stone Yun, Alexander Wong:
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks. CoRR abs/2208.12489 (2022) - 2021
- [c1]Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics. CVPR Workshops 2021: 2447-2456 - [i3]Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics. CoRR abs/2104.11849 (2021) - 2020
- [i2]Stone Yun, Alexander Wong:
Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks. CoRR abs/2011.14578 (2020) - [i1]Stone Yun, Alexander Wong:
FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints. CoRR abs/2011.14586 (2020)
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