PyTorch Flexible Hash Embeddings. Contribute to cemoody/flexi_hash_embedding development by creating an account on GitHub.
christopher e moody@jeremyphoward@PyTorch@rusty1s It’s a phenomenal library. I use it to efficiently embed features when one example has few features, and another example has many features. You could use a large one-hot matrix, but that’s hideously inefficient. Ex
We propose the Limited Multi-Label (LML) projection layer as a new primitive
operation for end-to-end learning systems. The LML layer provides a
probabilistic way of modeling multi-label predictions limited to having exactly
k labels. We derive...
Deep learning has arguably achieved tremendous success in recent years. In
simple words, deep learning uses the composition of many nonlinear functions to
model the complex dependency between input features and labels. While neural
networks have a...
Deep learning techniques have become the method of choice for researchers
working on algorithmic aspects of recommender systems. With the strongly
increased interest in machine learning in general, it has, as a result, become
difficult to keep track...