2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
MLSP-3: Deep Learning Training Methods 3 |
| Session Type: Poster |
| Time: Tuesday, 8 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Jinyu Li, Microsoft |
| MLSP-3.1: EVOLUTIONARY QUANTIZATION OF NEURAL NETWORKS WITH MIXED-PRECISION |
| Zhenhua Liu; Peking University |
| Xinfeng Zhang; University of Chinese Academy of Sciences |
| Shanshe Wang; Peking University |
| Siwei Ma; Peking University |
| Wen Gao; Peking University |
| MLSP-3.2: EVOLVING QUANTIZED NEURAL NETWORKS FOR IMAGE CLASSIFICATION USING A MULTI-OBJECTIVE GENETIC ALGORITHM |
| Yong Wang; Central South University |
| Xiaojing Wang; Central South University |
| Xiaoyu He; Central South University |
| MLSP-3.3: SPECTRAL DOMAIN CONVOLUTIONAL NEURAL NETWORK |
| Bochen Guan; OPPO US Research Center |
| Jinnian Zhang; University of Wisconsin-Madison |
| William A. Sethares; University of Wisconsin-Madison |
| Richard Kijowski; New York University |
| Fang Liu; Harvard University |
| MLSP-3.4: PARAMETRIC SPECTRAL FILTERS FOR FAST CONVERGING, SCALABLE CONVOLUTIONAL NEURAL NETWORKS |
| Luke Wood; Google |
| Eric Larson; Southern Methodist University |
| MLSP-3.5: FEATURE REUSE FOR A RANDOMIZATION BASED NEURAL NETWORK |
| Xinyue Liang; KTH Royal Institute of Technology |
| Mikael Skoglund; KTH Royal Institute of Technology |
| Saikat Chatterjee; KTH Royal Institute of Technology |
| MLSP-3.6: A RELU DENSE LAYER TO IMPROVE THE PERFORMANCE OF NEURAL NETWORKS |
| Alireza M. Javid; KTH Royal Institute of Technology |
| Sandipan Das; KTH Royal Institute of Technology |
| Mikael Skoglund; KTH Royal Institute of Technology |
| Saikat Chatterjee; KTH Royal Institute of Technology |