MLSP-P10: Learning Methods |
Session Type: Poster |
Time: Thursday, 7 May, 09:00 - 11:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chairs: Ercan Kuruoglu, Tsinghua-Berkeley Shenzhen Institute and Fedorov Igor, ARM |
MLSP-P10.1: LEARNING DIVERSE SUB-POLICIES VIA A TASK-AGNOSTIC REGULARIZATION ON ACTION DISTRIBUTIONS. |
Liangyu Huo; Beihang University |
Zulin Wang; Beihang University |
Mai Xu; Beihang University |
Yuhang Song; University of Oxford |
MLSP-P10.2: FEDERATED LEARNING WITH MUTUALLY COOPERATING DEVICES: A CONSENSUS APPROACH TOWARDS SERVER-LESS MODEL OPTIMIZATION |
Stefano Savazzi; Consiglio Nazionale delle Ricerche CNR-IEIIT |
Monica Nicoli; Politecnico di Milano |
Vittorio Rampa; Consiglio Nazionale delle Ricerche CNR-IEIIT |
Sanaz Kianoush; Consiglio Nazionale delle Ricerche CNR-IEIIT |
MLSP-P10.3: NO-REGRET NON-CONVEX ONLINE META-LEARNING |
Zhenxun Zhuang; Boston University |
Yunlong Wang; IQVIA Inc. |
Kezi Yu; IQVIA Inc. |
Songtao Lu; IBM |
MLSP-P10.4: ASYNCHROUNOUS DECENTRALIZED LEARNING OF A NEURAL NETWORK |
Xinyue Liang; KTH Royal Institute of Technology |
Alireza M. Javid; KTH Royal Institute of Technology |
Mikael Skoglund; KTH Royal Institute of Technology |
Saikat Chatterjee; KTH Royal Institute of Technology |
MLSP-P10.5: LEARNING PERCEPTION AND PLANNING WITH DEEP ACTIVE INFERENCE |
Ozan Çatal; Ghent University - imec |
Tim Verbelen; Ghent University - imec |
Johannes Nauta; Ghent University - imec |
Cedric De Boom; Ghent University - imec |
Bart Dhoedt; Ghent University - imec |
MLSP-P10.6: PROJECTION FREE DYNAMIC ONLINE LEARNING |
Deepak Singh Kalhan; Indian Institute of Technology Kanpur |
Amrit Singh Bedi; U.S. Army Research Laboratory |
Alec Koppel; U.S. Army Research Laboratory |
Ketan Rajawat; Indian Institute of Technology Kanpur |
Abhishek Kumar Gupta; Indian Institute of Technology Kanpur |
Adrish Banerjee; Indian Institute of Technology Kanpur |
MLSP-P10.7: LEARNING PARTIAL DIFFERENTIAL EQUATIONS FROM DATA USING NEURAL NETWORKS |
Ali Hasan; Duke University |
João M. Pereira; Duke University |
Robert Ravier; Duke University |
Sina Farsiu; Duke University |
Vahid Tarokh; Duke University |
MLSP-P10.8: ACTIVE LEARNING WITH UNSUPERVISED ENSEMBLES OF CLASSIFIERS |
Panagiotis Traganitis; University of Minnesota |
Dimitrios Berberidis; Carnegie Mellon University |
Georgios B. Giannakis; University of Minnesota |
MLSP-P10.9: NASIL : NEURAL ARCHITECTURE SEARCH WITH IMITATION LEARNING |
Farzaneh S. Fard; Fluent.ai |
Arash Rad; Fluent.ai |
Vikrant Singh Tomar; Fluent.ai |
MLSP-P10.10: MULTI-VIEW CLUSTERING VIA MIXED EMBEDDING APPROXIMATION |
Danyang Wu; Northwestern Polytechnical University |
Feiping Nie; Northwestern Polytechnical University |
Rong Wang; Northwestern Polytechnical University |
Xuelong Li; Northwestern Polytechnical University |
MLSP-P10.11: SIGNAL CLUSTERING WITH CLASS-INDEPENDENT SEGMENTATION |
Stefano Gasperini; Technische Universität München |
Magdalini Paschali; Technische Universität München |
Carsten Hopke; Airbus Defence and Space GmbH |
David Wittmann; Airbus Defence and Space GmbH |
Nassir Navab; Technische Universität München |