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pro vyhledávání: '"Jaiswal, Shikhar"'
Autor:
Curtin, Ryan R., Edel, Marcus, Shrit, Omar, Agrawal, Shubham, Basak, Suryoday, Balamuta, James J., Birmingham, Ryan, Dutt, Kartik, Eddelbuettel, Dirk, Garg, Rishabh, Jaiswal, Shikhar, Kaushik, Aakash, Kim, Sangyeon, Mukherjee, Anjishnu, Sai, Nanubala Gnana, Sharma, Nippun, Parihar, Yashwant Singh, Swain, Roshan, Sanderson, Conrad
Publikováno v:
Journal of Open Source Software, Vol. 8, No. 82, 2023
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge machine learning algorithms have been used in a wide variety of scienti
Externí odkaz:
http://arxiv.org/abs/2302.00820
Running machine learning inference on tiny devices, known as TinyML, is an emerging research area. This task requires generating inference code that uses memory frugally, a task that standard ML frameworks are ill-suited for. A deployment framework f
Externí odkaz:
http://arxiv.org/abs/2210.16556
Autor:
Jaiswal, Shikhar, Krishnaswamy, Ravishankar, Garg, Ankit, Simhadri, Harsha Vardhan, Agrawal, Sheshansh
State-of-the-art algorithms for Approximate Nearest Neighbor Search (ANNS) such as DiskANN, FAISS-IVF, and HNSW build data dependent indices that offer substantially better accuracy and search efficiency over data-agnostic indices by overfitting to t
Externí odkaz:
http://arxiv.org/abs/2211.12850