Keivan Alizadeh-Vahid

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Evaluation Framework

Language Modelling

Smoothing Methods

Vector Space Model

Top Venues

IEEE Comput. Archit. Lett.

Publications

Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23 (1) (2024)
Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR (2024)
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. 2023 (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. Del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR (2022)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR (2021)
Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR (2020)
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
In the Wild: From ML Models to Pragmatic ML Systems. CoRR (2020)