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Mostafa Elhoushi
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2020 – today
- 2024
- [c15]Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu:
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. ACL (1) 2024: 12622-12642 - [c14]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos:
Sieve: Multimodal Dataset Pruning Using Image Captioning Models. CVPR 2024: 22423-22432 - [c13]Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko:
Minuet: Accelerating 3D Sparse Convolutions on GPUs. EuroSys 2024: 786-802 - [c12]Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu:
CHAI: Clustered Head Attention for Efficient LLM Inference. ICML 2024 - [c11]Linyuan Gong, Mostafa Elhoushi, Alvin Cheung:
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding. ICML 2024 - [c10]Linyuan Gong, Sida Wang, Mostafa Elhoushi, Alvin Cheung:
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks. ICML 2024 - [i17]Linyuan Gong, Mostafa Elhoushi, Alvin Cheung:
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding. CoRR abs/2401.03003 (2024) - [i16]Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko:
Minuet: Accelerating 3D Sparse Convolutions on GPUs. CoRR abs/2401.06145 (2024) - [i15]Linyuan Gong, Sida Wang, Mostafa Elhoushi, Alvin Cheung:
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks. CoRR abs/2403.04814 (2024) - [i14]Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu:
CHAI: Clustered Head Attention for Efficient LLM Inference. CoRR abs/2403.08058 (2024) - [i13]Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu:
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. CoRR abs/2404.16710 (2024) - [i12]Aaditya K. Singh, Yu Yang, Kushal Tirumala, Mostafa Elhoushi, Ari S. Morcos:
Brevity is the soul of wit: Pruning long files for code generation. CoRR abs/2407.00434 (2024) - [i11]Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - 2023
- [c9]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. ICML 2023: 20746-20762 - [c8]Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty:
MODeL: Memory Optimizations for Deep Learning. ICML 2023: 32618-32632 - [i10]Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh Leather, Yuandong Tian:
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. CoRR abs/2301.05104 (2023) - [i9]Chris Cummins, Volker Seeker, Dejan Grubisic, Mostafa Elhoushi, Youwei Liang, Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Kim M. Hazelwood, Gabriel Synnaeve, Hugh Leather:
Large Language Models for Compiler Optimization. CoRR abs/2309.07062 (2023) - [i8]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos:
SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR abs/2310.02110 (2023) - [i7]Yu Yang, Aaditya K. Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S. Morcos, Newsha Ardalani:
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. CoRR abs/2312.02418 (2023) - 2022
- [c7]Amir H. Ashouri, Mostafa Elhoushi, Yuzhe Hua, Xiang Wang, Muhammad Asif Manzoor, Bryan Chan, Yaoqing Gao:
Work-in-Progress: MLGOPerf: An ML Guided Inliner to Optimize Performance. CASES 2022: 3-4 - [c6]Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray:
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CVPR 2022: 12444-12453 - [i6]Amir H. Ashouri, Mostafa Elhoushi, Yuzhe Hua, Xiang Wang, Muhammad Asif Manzoor, Bryan Chan, Yaoqing Gao:
MLGOPerf: An ML Guided Inliner to Optimize Performance. CoRR abs/2207.08389 (2022) - [i5]Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty:
OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays. CoRR abs/2210.12924 (2022) - 2021
- [c5]Mostafa Elhoushi, Zihao Chen, Farhan Shafiq, Ye Henry Tian, Joey Yiwei Li:
DeepShift: Towards Multiplication-Less Neural Networks. CVPR Workshops 2021: 2359-2368 - [c4]Hongyang Liu, Sara Elkerdawy, Nilanjan Ray, Mostafa Elhoushi:
Layer Importance Estimation With Imprinting for Neural Network Quantization. CVPR Workshops 2021: 2408-2417 - [i4]Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray:
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. CoRR abs/2110.08232 (2021) - 2020
- [c3]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To Filter Prune, or to Layer Prune, That Is the Question. ACCV (3) 2020: 737-753 - [c2]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
One-Shot Layer-Wise Accuracy Approximation For Layer Pruning. ICIP 2020: 2940-2944 - [i3]Sara Elkerdawy, Mostafa Elhoushi, Abhineet Singh, Hong Zhang, Nilanjan Ray:
To filter prune, or to layer prune, that is the question. CoRR abs/2007.05667 (2020)
2010 – 2019
- 2019
- [i2]Mostafa Elhoushi, Farhan Shafiq, Ye Henry Tian, Joey Yiwei Li, Zihao Chen:
DeepShift: Towards Multiplication-Less Neural Networks. CoRR abs/1905.13298 (2019) - [i1]Mostafa Elhoushi, Ye Henry Tian, Zihao Chen, Farhan Shafiq, Joey Yiwei Li:
Accelerating Training using Tensor Decomposition. CoRR abs/1909.05675 (2019) - 2017
- [j3]Mostafa Elhoushi, Jacques Georgy, Aboelmagd Noureldin, Michael J. Korenberg:
A Survey on Approaches of Motion Mode Recognition Using Sensors. IEEE Trans. Intell. Transp. Syst. 18(7): 1662-1686 (2017) - 2016
- [j2]Mostafa Elhoushi, Jacques Georgy, Aboelmagd Noureldin, Michael J. Korenberg:
Motion Mode Recognition for Indoor Pedestrian Navigation Using Portable Devices. IEEE Trans. Instrum. Meas. 65(1): 208-221 (2016) - 2014
- [j1]Mostafa Elhoushi, M. Watheq El-Kharashi, Hatem Elrefaei:
Model of a hybrid processor executing C++ with additional quantum functions. Microprocess. Microsystems 38(8): 1000-1011 (2014) - [c1]Mostafa Elhoushi, Jacques Georgy, Ahmed Wahdan, Michael J. Korenberg, Aboelmagd Noureldin:
Using portable device sensors to recognize height changing modes of motion. I2MTC 2014: 477-481
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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