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https://deepai.org/publication/position-based-scaled-gradient-for-model-quantization-and-sparse-training Position-based Scaled Gradient for Model Quantization and Sparse Training | DeepAI May 22, 2020 - 05/22/20 - We propose the position-based scaled gradient (PSG) that scales the gradient depending on the position of a weight vector to make ... sparse training position based scaled gradient https://arxiv.org/abs/2403.02914v2 [2403.02914v2] DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Abstract page for arXiv paper 2403.02914v2: DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting sparse training https://aclanthology.org/W13-2302/ POS Tagging for Historical Texts with Sparse Training Data - ACL Anthology Marcel Bollmann. Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse. 2013. pos tagging historical texts sparse training https://openreview.net/forum?id=JSTp7NiuYi SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge |... We provide an efficient implementation of the backpropagation algorithm, specialized to the case where the weights of the neural network being trained are... https://scholar.hit.edu.cn/en/publications/sparse-underwater-acoustic-ofdm-channel-estimation-based-on-super/ Sparse underwater acoustic OFDM channel estimation based on superimposed training - Harbin... based on sparse underwater acoustic ofdm