| 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 |