Dinesh RamasamyLSH for Vector SearchIt is well known that locality sensitive hashing (LSH) can be used for approximate nearest neighbor search (ANN) or vector search. Here we…3 min read·Sep 28, 2023----
Dinesh RamasamyDealing with large vocabularies in Recommender SystemsMost models use embedding tables to represent categorical features as vectors. Recommender Systems are no different: They need these tables…3 min read·Aug 13, 2023--1--1
Dinesh RamasamyLSH as a feature extractorLocality Sensitive Hashing (LSH) is typically used for approximate nearest neighbor (ANN) operations (vector search). The properties of LSH…3 min read·Aug 9, 2023----
Dinesh RamasamySparse transformersTransformer complexity grows quadratically with sequence length. Is there an easy way to reduce this dependency on sequence length? We try…4 min read·Jul 19, 2023----
Dinesh RamasamyMoving away from weight tuning for Multi-Task Learning modelsMulti-task learning (MTL) models are widely used in different settings like Large Language Models, Recommender Systems, Computer Vision…3 min read·Apr 26, 2023----
Dinesh RamasamySNRAdam: Improving the Adam OptimizerOptimizers are essential tools in the modeling stack. One of the most widely used optimizers is the Adam optimizer introduced by Kingma and…5 min read·Apr 24, 2023----
Dinesh RamasamyFastEmbed: How to compute efficient high dimensional PCA embeddings?How can we scale PCA to large scale graphs and datasets?4 min read·Jul 29, 2019--1--1
