MLSP-4: Machine Learning for Classification Applications 1 |
| Session Type: Poster |
| Time: Tuesday, 8 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: David Luengo, Universidad Politécnica de Madrid |
| MLSP-4.1: NESTED LEARNING FOR MULTI-LEVEL CLASSIFICATION |
| Raphaël Achddou; LTCI, Télécom Paris, Institut Polytechnique de Paris |
| J.Matias di Martino; Duke University |
| Guillermo Sapiro; Duke University |
| MLSP-4.2: CROSS-MODAL REPRESENTATION RECONSTRUCTION FOR ZERO-SHOT CLASSIFICATION |
| Yu Wang; Tongji University |
| Shenjie Zhao; Mojie Technology(Ningbo) |
| MLSP-4.3: HIGCNN: HIERARCHICAL INTERLEAVED GROUP CONVOLUTIONAL NEURAL NETWORKS FOR POINT CLOUDS ANALYSIS |
| Jisheng Dang; Lanzhou Jiaotong University |
| Jun Yang; Lanzhou Jiaotong University |
| MLSP-4.4: AUTOKWS: KEYWORD SPOTTING WITH DIFFERENTIABLE ARCHITECTURE SEARCH |
| Bo Zhang; Xiaomi |
| Wenfeng Li; Xiaomi |
| Qingyuan Li; Xiaomi |
| Weiji Zhuang; Xiaomi |
| Xiangxiang Chu; Xiaomi |
| Yujun Wang; Xiaomi |
| MLSP-4.5: EMBEDDING SEMANTIC HIERARCHY IN DISCRETE OPTIMAL TRANSPORT FOR RISK MINIMIZATION |
| Yubin Ge; University of Illinois Urbana-Champaign |
| Site Li; Carnegie Mellon University |
| Xuyang Li; Northeastern University |
| Fangfang Fan; Harvard University |
| Wanqing Xie; Harvard University |
| Jane You; Hong Kong Polytechnic University |
| Xiaofeng Liu; Harvard University |
| MLSP-4.6: IDENTIFYING SPAMMERS TO BOOST CROWDSOURCED CLASSIFICATION |
| Panagiotis Traganitis; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |