1 citations · 1 across the 3 of their papers we have counts for
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Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings
Yanis Basso-Bert, Anca Molnos, Romain Lemaire +2
In dynamic environments where new concepts continuously emerge, Deep Neural Networks (DNNs) must adapt by learning new classes while retaining previously acquired ones. This challe…
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert, Anca Molnos, Romain Lemaire +2
Binary Neural Networks (BNNs) are a promising approach to enable Artificial Neural Network (ANN) implementation on ultra-low power edge devices. Such devices may compute data in hi…
Efficient Neural Compression with Inference-time Decoding
C. Metz, O. Bichler, A. Dupret
This paper explores the combination of neural network quantization and entropy coding for memory footprint minimization. Edge deployment of quantized models is hampered by the hars…