Alizadeh-Vahid, Keivan

3 publications

ICLR 2024 ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Seyed Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

TMLR 2023 FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

ICLR 2022 DKM: Differentiable K-Means Clustering Layer for Neural Network Compression Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari