81 citations · 429 across the 42 of their papers we have counts for
3 papers · 1 filter
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
Andrey Kuzmin, Markus Nagel, Saurabh Pitre +3
The success of deep neural networks in many real-world applications is leading to new challenges in building more efficient architectures. One effective way of making networks more…
Batch-Shaping for Learning Conditional Channel Gated Networks
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
We present a method that trains large capacity neural networks with significantly improved accuracy and lower dynamic computational cost. We achieve this by gating the deep-learnin…
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel, Mart van Baalen, Tijmen Blankevoort +1
We introduce a data-free quantization method for deep neural networks that does not require fine-tuning or hyperparameter selection. It achieves near-original model performance on…