65 citations · 307 across the 25 of their papers we have counts for
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cs.IR2022★ 10 cited
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu +1
We leverage the Neural Tangent Kernel and its equivalence to training infinitely-wide neural networks to devise -AE: an autoencoder with infinitely-wide bottleneck layers.…
cs.LG2022★ 13 cited
On Sampling Collaborative Filtering Datasets
Noveen Sachdeva, Carole-Jean Wu, Julian McAuley
We study the practical consequences of dataset sampling strategies on the ranking performance of recommendation algorithms. Recommender systems are generally trained and evaluated…