Browsing by Author
Subramaniam, Ravi
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
 | 2022 | Bringing AI to edge : from deep learning's perspective | Liu, Di; Kong, Hao; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| | 2022 | Collate: collaborative neural network learning for latency-critical edge systems | Huai, Shuo; Liu, Di; Kong, Hao; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
| | 2023 | Crossbar-aligned & integer-only neural network compression for efficient in-memory acceleration | Huai, Shuo; Liu, Di; Luo, Xiangzhong; Chen, Hui; Liu, Weichen; Subramaniam, Ravi |
 | 2021 | EDLAB : a benchmark for edge deep learning accelerators | Kong, Hao; Huai, Shuo; Liu, Di; Zhang, Lei; Chen, Hui; Zhu, Shien; Li, Shiqing; Liu, Weichen; Rastogi, Manu; Subramaniam, Ravi; Athreya, Madhu; Lewis, M. Anthony |
| 2023 | EMNAPE: efficient multi-dimensional neural architecture pruning for EdgeAI | Kong, Hao; Luo, Xiangzhong; Huai, Shuo; Liu, Di; Subramaniam, Ravi; Makaya, Christian; Lin, Qian; Liu, Weichen |
| 2022 | HACScale : hardware-aware compound scaling for resource-efficient DNNs | Kong, Hao; Liu, Di; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi |
| | 2023 | Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization | Huai, Shuo; Liu, Di; Kong, Hao; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
| 2022 | Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware | Kong, Hao; Liu, Di; Huai, Shuo; Luo, Xiangzhong; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian |
| 2023 | Towards efficient convolutional neural network for embedded hardware via multi-dimensional pruning | Kong, Hao; Liu, Di; Luo, Xiangzhong; Huai, Shuo; Subramaniam, Ravi; Makaya, Christian; Lin, Qian; Liu, Weichen |
| 2021 | ZeroBN : learning compact neural networks for latency-critical edge systems | Huai, Shuo; Zhang, Lei; Liu, Di; Liu, Weichen; Subramaniam, Ravi |
