Pipemare: Asynchronous pipeline parallel dnn training B Yang, J Zhang, J Li, C Ré, C Aberger, C De Sa Proceedings of Machine Learning and Systems 3, 269-296, 2021 | 124 | 2021 |
Mongoose: A learnable lsh framework for efficient neural network training B Chen, Z Liu, B Peng, Z Xu, JL Li, T Dao, Z Song, A Shrivastava, C Re International Conference on Learning Representations, 2020 | 76 | 2020 |
Climbing the wol: Training for cheaper inference Z Liu, Z Xu, A Ji, J Li, B Chen, A Shrivastava arXiv preprint arXiv:2007.01230, 2020 | 8 | 2020 |
HALOS: Hashing Large Output Space for Cheap Inference Z Liu, Z Xu, A Ji, J Zhang, J Li, B Chen, A Shrivastava Proceedings of Machine Learning and Systems 4, 110-125, 2022 | 1 | 2022 |