Search Results for author: Anish Prabhu

Found 3 papers, 2 papers with code

Token Pooling in Vision Transformers

no code implementations8 Oct 2021 Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel

Token Pooling is a simple and effective operator that can benefit many architectures.

LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time

1 code implementation8 Oct 2021 Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari

Our models require no retraining, thus our subspace of models can be deployed entirely on-device to allow adaptive network compression at inference time.

Quantization

Butterfly Transform: An Efficient FFT Based Neural Architecture Design

1 code implementation CVPR 2020 Keivan Alizadeh Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari

By replacing pointwise convolutions with BFT, we reduce the computational complexity of these layers from O(n^2) to O(n\log n) with respect to the number of channels.

Neural Architecture Search

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