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pro vyhledávání: '"Aashiq Muhamed"'
Autor:
Aashiq Muhamed, Sriram Srinivasan, Choon-Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333798
Dense embedding-based semantic matching is widely used in e-commerce product search to address the shortcomings of lexical matching such as sensitivity to spelling variants. The recent advances in BERT-like language model encoders, have however, not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd962ffa8f1136c491435476aa252d6
https://doi.org/10.1007/978-3-031-33380-4_6
https://doi.org/10.1007/978-3-031-33380-4_6
Autor:
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alex J. Smola
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:408-417
Autoregressive models using Transformers have emerged as the dominant approach for music generation with the goal of synthesizing minute-long compositions that exhibit large-scale musical structure. These models are commonly trained by minimizing the
Autor:
Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Autor:
Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
In this work, we propose to use a deep learning framework for decoding the electroencephalogram (EEG) signals of human brain activities. More specifically, we learn an end-to-end model that recognizes natural images or motor imagery by the EEG data t