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ORCIDKeivan Alizadeh-Vahid
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- affiliation: University of Washington, USA
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2020 – today
- 2024
[j3]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): 37-40 (2024)- [c5]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) 2024: 12562-12584 - [c4]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 - [i12]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - [i11]Seyed-Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar:
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. CoRR abs/2410.05229 (2024) - [i10]Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar:
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR abs/2410.10846 (2024) - [i9]Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri:
Computational Bottlenecks of Training Small-scale Large Language Models. CoRR abs/2410.19456 (2024) - [i8]Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh:
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. CoRR abs/2411.01798 (2024) - 2023
- [j2]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) - [i7]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 abs/2309.00964 (2023) - [i6]Seyed-Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR abs/2310.04564 (2023) - [i5]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR abs/2312.11514 (2023) - 2022
- [c3]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR 2022 - 2021
- [i4]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR abs/2108.12659 (2021) - 2020
- [j1]Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. 32(1): 121-134 (2020) - [c2]Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR 2020: 12021-12030 - [i3]Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
In the Wild: From ML Models to Pragmatic ML Systems. CoRR abs/2007.02519 (2020)
2010 – 2019
- 2019
- [i2]Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR abs/1906.02256 (2019) - 2017
- [c1]Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. KDD 2017: 847-855 - [i1]Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. CoRR abs/1703.01442 (2017)
Coauthor Index
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