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TU2.I: Adversarial Attacks and Fast Algorithms

Session Type: Poster
Time: Tuesday, 5 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Mingyi Hong, University of Minnesota
 
   TU2.I.2: COST AWARE ADVERSARIAL LEARNING
         Shashini De Silva; Oregon State University
         Jinsub Kim; Oregon State University
         Raviv Raich; Oregon State University
 
   TU2.I.3: ON DIVERGENCE APPROXIMATIONS FOR UNSUPERVISED TRAINING OF DEEP DENOISERS BASED ON STEIN’S UNBIASED RISK ESTIMATOR
         Shakarim Soltanayev; Ulsan National Institute of Science and Technology
         Raja Giryes; Tel Aviv University
         Se Young Chun; Ulsan National Institute of Science and Technology
         Yonina Eldar; Weizmann Institute of Science
 
   TU2.I.4: VARIABLE METRIC PROXIMAL GRADIENT METHOD WITH DIAGONAL BARZILAI-BORWEIN STEPSIZE
         Youngsuk Park; Stanford university
         Sauptik Dhar; LG Sillicon Valley Lab
         Stephen Boyd; Stanford university
         Mohak Shah; LG Sillicon Valley Lab
 
   TU2.I.5: REVISIT OF ESTIMATE SEQUENCE FOR ACCELERATED GRADIENT METHOD
         Bingcong Li; University of minnesota
         Mario Coutino; Delft University of Technology
         Georgios B. Giannakis; University of minnesota
 
   TU2.I.6: A GENERALIZATION OF PRINCIPAL COMPONENT ANALYSIS
         Samuele Battaglino; University of Illinois at Chicago
         Erdem Koyuncu; University of Illinois at Chicago
 
   TU2.I.7: AN EASY-TO-IMPLEMENT FRAMEWORK OF FAST SUBSPACE CLUSTERING FOR BIG DATA SETS
         Linghang Meng; Tsinghua University
         Yuchen Jiao; Tsinghua University
         Yuantao Gu; Tsinghua University
 
   TU2.I.8: INVESTIGATING GENERALIZATION IN NEURAL NETWORKS UNDER OPTIMALLY EVOLVED TRAINING PERTURBATIONS
         Subhajit Chaudhury; University of Tokyo
         Toshihiko Yamasaki; University of Tokyo
 
   TU2.I.9: HETEROGENEOUS DOMAIN GENERALIZATION VIA DOMAIN MIXUP
         Yufei Wang; University of Electronic Science and Technology of China
         Haoliang Li; Nanyang Technological University
         Alex Chichung Kot; Nanyang Technological University
 
   TU2.I.10: PRESERVATION OF ANOMALOUS SUBGROUPS ON VARIATIONAL AUTOENCODER TRANSFORMED DATA
         Samuel C. Maina; IBM Research
         Reginald E. Bryant; IBM Research
         William Ogallo; IBM Research
         Robert-Florian Samoilescu; University Politehnica of Bucharest
         Aisha Walcott-Bryant; IBM Research
         Skyler Speakman; IBM Research
         Celia Cintas; IBM Research
         Kush R. Varshney; IBM Research
         Komminist Weldemariam; IBM Research
 
   TU2.I.11: LEARN-BY-CALIBRATING: USING CALIBRATION AS A TRAINING OBJECTIVE
         Jayaraman J. Thiagarajan; Lawrence Livermore National Labs
         Bindya Venkatesh; Arizona State University
         Deepta Rajan; IBM Research