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…Sep 28, 2023Sep 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…Aug 13, 20231Aug 13, 20231
Dinesh RamasamyLSH as a feature extractorLocality Sensitive Hashing (LSH) is typically used for approximate nearest neighbor (ANN) operations (vector search). The properties of LSH…Aug 9, 2023Aug 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…Jul 19, 2023Jul 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…Apr 26, 2023Apr 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…Apr 24, 2023Apr 24, 2023
Dinesh RamasamyFastEmbed: How to compute efficient high dimensional PCA embeddings?How can we scale PCA to large scale graphs and datasets?Jul 29, 20191Jul 29, 20191