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2020 – today
- 2024
[c8]Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen, Jovana Lazarevic, Ivan Skorokhodov, Chamuditha Jayanga Galappaththige, Mohamed Elhoseiny:
Adversarial Text to Continuous Image Generation. CVPR 2024: 6316-6326- [c7]Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona Diab, Virginia Smith:
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. EMNLP 2024: 14978-15003 - [i3]Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona Diab, Virginia Smith:
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. CoRR abs/2406.17660 (2024) - [i2]Aashiq Muhamed, Mona Diab, Virginia Smith:
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models. CoRR abs/2411.00743 (2024) - 2023
- [c6]Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen:
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) 2023: 1128-1136 - [c5]Aashiq Muhamed
, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan:
Training Large-scale Foundation Models on Emerging AI Chips. KDD 2023: 5821-5822 - [c4]Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan:
Web-Scale Semantic Product Search with Large Language Models. PAKDD (3) 2023: 73-85 - [i1]Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig:
An In-depth Look at Gemini's Language Abilities. CoRR abs/2312.11444 (2023) - 2022
- [c3]Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi:
DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. WWW (Companion Volume) 2022: 110-115 - 2021
- [c2]Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola:
Symbolic Music Generation with Transformer-GANs. AAAI 2021: 408-417 - [c1]Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar:
Gated Transformer for Decoding Human Brain EEG Signals. EMBC 2021: 125-130
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