MLSP-L10: Deep Neural Network Structures |
| Session Type: Lecture |
| Time: Friday, 8 May, 08:00 - 10:00 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chair: Saikat Chatterjee, KTH - Royal Institute of Technology |
| MLSP-L10.1: GFCN: A NEW GRAPH CONVOLUTIONAL NETWORK BASED ON PARALLEL FLOWS |
| Feng Ji; Nanyang Technological University |
| Jielong Yang; Nanyang Technological University |
| Qiang Zhang; Nanyang Technological University |
| Wee Peng Tay; Nanyang Technological University |
| MLSP-L10.2: DEPTHWISE-STFT BASED SEPARABLE CONVOLUTIONAL NEURAL NETWORKS |
| Sudhakar Kumawat; Indian Institute of Technology Gandhinagar |
| Shanmuganathan Raman; Indian Institute of Technology Gandhinagar |
| MLSP-L10.3: SEMI-IMPLICIT STOCHASTIC RECURRENT NEURAL NETWORKS |
| Ehsan Hajiramezanali; Texas A&M University |
| Arman Hasanzadeh; Texas A&M University |
| Nick Duffield; Texas A&M University |
| Krishna Narayanan; Texas A&M University |
| Mingyuan Zhou; University of Texas at Austin |
| Xiaoning Qian; Texas A&M University |
| MLSP-L10.4: FEEDBACK RECURRENT AUTOENCODER |
| Yang Yang; Qualcomm Inc. |
| Guillaume Sautière; Qualcomm Inc. |
| Jongha Ryu; Qualcomm Inc. |
| Taco Cohen; Qualcomm Inc. |
| MLSP-L10.5: INDYLSTMS: INDEPENDENTLY RECURRENT LSTMS |
| Pedro Gonnet; Google Research |
| Thomas Deselaers; Google Research |
| MLSP-L10.6: NEURAL ATTENTIVE MULTIVIEW MACHINES |
| Oren Barkan; Microsoft |
| Ori Katz; Microsoft |
| Noam Koenigstein; Microsoft |