All times are in Alaska local time (AKDT/UTC−08:00)
MLR-APPL-IP-4: Machine learning for image processing 4 |
Interactive Q&A Time: Tuesday, September 21, 13:30 - 15:00 |
Session Chair: Benedetta Tondi, University of Siena |
MLR-APPL-IP-4.1: EBB: PROGRESSIVE OPTIMIZATION FOR PARTIAL DOMAIN ADAPTATION |
Cheng Feng; Fujitsu R&D Center, Co., LTD |
Chaoliang Zhong; Fujitsu R&D Center, Co., LTD |
Jie Wang; Fujitsu R&D Center, Co., LTD |
Jun Sun; Fujitsu R&D Center, Co., LTD |
Yasuto Yokota; Fujitsu Laboratories |
MLR-APPL-IP-4.2: A PARAMETER EFFICIENT MULTI-SCALE CAPSULE NETWORK |
Minki Jeong; Korea Advanced Institute of Science and Technology |
Changick Kim; Korea Advanced Institute of Science and Technology |
MLR-APPL-IP-4.3: GRADIENT LOCAL BINARY PATTERN FOR CONVOLUTIONAL NEURAL NETWORKS |
Jialiang Tang; Southwest University of Science and Technology |
Ning Jiang; Southwest University of Science and Technology |
Wenxin Yu; Southwest University of Science and Technology |
MLR-APPL-IP-4.4: INFOVAEGAN : LEARNING JOINT INTERPRETABLE REPRESENTATIONS BY INFORMATION MAXIMIZATION AND MAXIMUM LIKELIHOOD |
Fei Ye; University of York |
Adrian Bors; University of York |
MLR-APPL-IP-4.6: EXPLOITING LEARNED SYMMETRIES IN GROUP EQUIVARIANT CONVOLUTIONS |
Attila Lengyel; Delft University of Technology |
Jan C. van Gemert; Delft University of Technology |
MLR-APPL-IP-4.7: TRANSRESNET: TRANSFERABLE RESNET FOR DOMAIN ADAPTATION |
Juepeng Zheng; Tsinghua University |
Wenzhao Wu; National Supercomputing Center in Wuxi |
Yi Zhao; Tsinghua University |
Haohuan Fu; Tsinghua University |
MLR-APPL-IP-4.8: SOURCE CLASS SELECTION WITH LABEL PROPAGATION FOR PARTIAL DOMAIN ADAPTATION |
Qian Wang; Durham University |
Toby Breckon; Durham University |
MLR-APPL-IP-4.9: AFFINE NON-NEGATIVE COLLABORATIVE REPRESENTATION FOR DEEP METRIC LEARNING |
Min Zhu; China University of Petroleum (East China) |
Bao-Di Liu; China University of Petroleum (East China) |
Weifeng Liu; China University of Petroleum (East China) |
Kai Zhang; China University of Petroleum (East China) |
Ye Li; Qilu University of Technology (Shandong Academy of Sciences) |
Xiaoping Lu; Haier Industrial Intelligence Institute Co., Ltd |
MLR-APPL-IP-4.10: SELF-BALANCED LEARNING FOR DOMAIN GENERALIZATION |
Jin Kim; Yonsei University |
Jiyoung Lee; Yonsei University |
Jungin Park; Yonsei University |
Dongbo Min; Ewha Womans University |
Kwanghoon Sohn; Yonsei University |
MLR-APPL-IP-4.11: ENHANCED SEPARABLE DISENTANGLEMENT FOR UNSUPERVISED DOMAIN ADAPTATION |
Youshan Zhang; Lehigh University |
Brian Davison; Lehigh University |
MLR-APPL-IP-4.12: WEIGHT REPARAMETRIZATION FOR BUDGET-AWARE NETWORK PRUNING |
Robin Dupont; Sorbonne université |
Hichem Sahbi; Sorbonne université |
Guillaume Michel; Netatmo |
MLR-APPL-IP-4.13: TASK-AGNOSTIC CONTINUAL LEARNING USING BASE-CHILD CLASSIFIERS |
Pranshu Ranjan Singh; Institute for Infocomm Research (I2R), A*STAR |
Saisubramaniam Gopalakrishnan; Institute for Infocomm Research (I2R), A*STAR |
Qiao ZhongZheng; Nanyang Technological University (NTU) |
Ponnuthurai N. Suganthan; Nanyang Technological University (NTU) |
Savitha Ramasamy; Institute for Infocomm Research (I2R), A*STAR |
ArulMurugan Ambikapathi; Institute for Infocomm Research (I2R), A*STAR |