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 |