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02/16/2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Pruning neural networks at initialization would enable us to find sparse...
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01/30/2022
COIN++: Data Agnostic Neural Compression
Neural compression algorithms are typically based on autoencoders that r...
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03/03/2021
COIN: COmpression with Implicit Neural representations
We propose a new simple approach for image compression: instead of stori...
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07/01/2020
Single Shot Structured Pruning Before Training
We introduce a method to speed up training by 2x and inference by 3x in ...
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02/18/2020
Gradient â„“_1 Regularization for Quantization Robustness
We analyze the effect of quantizing weights and activations of neural ne...
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12/22/2019
