What are some strategies for managing embedding layers in continual learning scenarios to prevent forgetting?

Apr 11, 2023 ... My main concern is determining the optimal or maximum sentence size for encoding each embedding. I understand that sentence length plays a crucial role. Selecting Embed only the characters used in the presentation reduces the file size but limits editing of the file using the same font. This checkbox is common ... Jul 22, 2024 ... This paper proposes to learn Scalable Lightweight Embeddings for streaming recommendation, called SCALL, which can adaptively adjust the embedding sizes of ... Mar 5, 2024 ... Storage cost scales linearly with dimension, and the choice of embeddings, such as OpenAI's in 1526 dimensions, impacts the overall cost. Apr 8, 2023 ... The output dimension is mantained, since values coming from each attention head are concatenated and then projected with a matrix WO∈Rhdv×dmodel ... Sep 13, 2010 ... So, I couldn't choose a larger area to display of the excel spreadsheet and just size it down. It arbitrarily chooses where to cut off the ... Jan 28, 2020 ... Let's talk about Spatial Embedding. Consider a Basket Ball: and be yourself my friendly Amoeba Scientist Amoeba Joe: You live your full life ... ... dimension" to latitude and longitude: population size. ... A programmer may feed the neural network examples of how to create an embedding, which dimensions to ... Mar 19, 2023 ... I was wondering if ml-common has (or will have) options to reduce the default size using techniques such as PCA, t-SNE (t-SNE-Java), LDA, Autoencoders etc. Apr 3, 2024 ... The reason the size increases is due to storing the extra passages as nested fields as well as all the actual embedding representations ...