196 citations · 214 across the 7 of their papers we have counts for
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cs.LG2020★ 196 cited
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang, Ashish Khetan, Milan Cvitkovic +1
We propose TabTransformer, a novel deep tabular data modeling architecture for supervised and semi-supervised learning. The TabTransformer is built upon self-attention based Transf…
cs.LG2020★ 11 cited
PruneNet: Channel Pruning via Global Importance
Ashish Khetan, Zohar Karnin
Channel pruning is one of the predominant approaches for accelerating deep neural networks. Most existing pruning methods either train from scratch with a sparsity inducing term su…
cs.CL2020
schuBERT: Optimizing Elements of BERT
Ashish Khetan, Zohar Karnin
Transformers \citep{vaswani2017attention} have gradually become a key component for many state-of-the-art natural language representation models. A recent Transformer based model-…