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Found 5 papers, 1 papers with code
Unsupervised Image Fusion Method based on Feature Mutual Mapping
We propose a feature mutual mapping fusion module and dual-branch multi-scale autoencoder.
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
This new strategy augments the neural networks in DRL with a complementary scheme to boost the performance of learning.
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
In this work, we derive a new regularized risk, in which the regularizer can adaptively encourage the accuracy and robustness of the smoothed counterpart when training the base classifier.
Sionnx: Automatic Unit Test Generator for ONNX Conformance
Finally, through this easy-to-use specification language, we are able to build a full testing specification which leverages LLVM TableGen to automatically generate unit tests for ONNX operators with much large coverage.
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM
In this work, we propose a hardware-guided symbiotic training methodology for compact, accurate, yet execution-efficient inference models.
