MUMBAI, India, June 13 -- Intellectual Property India has published a patent application (202417069164 A) filed by Microsoft Technology Licensing, Llc, Redmond, U.S.A., on Sept. 12, 2024, for 'sparsity masking methods for neural network training.'
Inventor(s) include Golub, Maximilian Taylor; Darvish Rouhani, Bita; Chung, Eric S; and Burger, Douglas Christopher.
The application for the patent was published on June 13, under issue no. 24/2025.
According to the abstract released by the Intellectual Property India: "A method is presented for training a neural network. For a weight matrix having integer dimensions M1 in a first dimension and an integer dimension M2 in a second dimension, a first balanced sparsity mask is generated that is an N1 of M1 mask in the first dimension. The first balanced sparsity mask is applied to the weight matrix during inference. A second balanced sparsity mask is generated for a transpose of the weight matrix. The second balanced sparsity mask is an N2 of M2 mask in the second dimension. The second balanced sparsity mask is applied to the transpose of the weight matrix during backpropagation."
The patent application was internationally filed on Dec. 26, 2022, under International application No.PCT/US2022/054019.
Disclaimer: Curated by HT Syndication.
