Technical Program

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MLR-APPL-IVSMR-1: Machine learning for image and video sensing, modeling and representation 1

Interactive Q&A Time: Tuesday, September 21, 13:30 - 15:00
Session Chair: Arman Zharmagambetov, University of California
 
 MLR-APPL-IVSMR-1.1: A SIMPLE, EFFECTIVE WAY TO IMPROVE NEURAL NET CLASSIFICATION: ENSEMBLING UNIT ACTIVATIONS WITH A SPARSE OBLIQUE DECISION TREE
         Arman Zharmagambetov; University of California, Merced
         Miguel Á. Carreira-Perpiñán; University of California, Merced
 
 MLR-APPL-IVSMR-1.2: ADAPTIVE SIGNAL VARIANCES: CNN INITIALIZATION THROUGH MODERN ARCHITECTURES
         Takahiko Henmi; Gunma University
         Esmeraldo Ronnie Rey Zara; Gunma University
         Yoshihiro Hirohashi; Individual
         Tsuyoshi Kato; Gunma University
 
 MLR-APPL-IVSMR-1.3: SPARSE AND STRUCTURED VISUAL ATTENTION
         Pedro Henrique Martins; Instituto de Telecomunicações
         Vlad Niculae; IvI, University of Amsterdam
         Zita Marinho; Institute of Systems and Robotics / Priberam Labs
         André F. T. Martins; Instituto de Telecomunicações / Unbabel
 
 MLR-APPL-IVSMR-1.4: VVS: ACTION RECOGNITION WITH VIRTUAL VIEW SYNTHESIS
         Gao Peng; Shanghai Jiao Tong University
         Yong-Lu Li; Shanghai Jiao Tong University
         Hao Zhu; Shanghai Jiao Tong University
         Jiajun Tang; Shanghai Jiao Tong University
         Jin Xia; Shanghai Jiao Tong University
         Cewu Lu; Shanghai Jiao Tong University
 
 MLR-APPL-IVSMR-1.5: MULTI-TASK DISTILLATION: TOWARDS MITIGATING THE NEGATIVE TRANSFER IN MULTI-TASK LEARNING
         Ze Meng; Tsinghua University
         Xin Yao; Tsinghua University
         Lifeng Sun; Tsinghua University
 
 MLR-APPL-IVSMR-1.6: U-NOISE: LEARNABLE NOISE MASKS FOR INTERPRETABLE IMAGE SEGMENTATION
         Teddy Koker; OpenMined
         Fatemehsadat Mireshghallah; University of California, San Diego
         Tom Titcombe; OpenMined
         Georgios Kaissis; Technical University of Munich
 
 MLR-APPL-IVSMR-1.7: NATURAL STATISTICS OF NETWORK ACTIVATIONS AND IMPLICATIONS FOR KNOWLEDGE DISTILLATION
         Michael Rotman; Tel-Aviv University
         Lior Wolf; Tel-Aviv University
 
 MLR-APPL-IVSMR-1.8: REGULARIZATION VIA DEEP GENERATIVE MODELS: AN ANALYSIS POINT OF VIEW
         Thomas Oberlin; ISAE-SUPAERO
         Mathieu Verm; ISAE-SUPAERO
 
 MLR-APPL-IVSMR-1.9: GET TO THE POINT: CONTENT CLASSIFICATION OF ANIMATED GRAPHICS INTERCHANGE FORMATS WITH KEY-FRAME ATTENTION
         Yongjuan Ma; Tianjin University
         Yu Wang; Tianjin University
         Pengfei Zhu; Tianjin University
         Junwen Pan; Tianjin University
         Hong Shi; Tianjin University
 
 MLR-APPL-IVSMR-1.10: DIFFERENTIABLE DYNAMIC CHANNEL ASSOCIATION FOR KNOWLEDGE DISTILLATION
         Qiankun Tang; Zhejiang Lab
         Xiaogang Xu; Zhejiang Gongshang University
         Jun Wang; Zhejiang Lab
 
 MLR-APPL-IVSMR-1.11: THE MAXIMUM A POSTERIOR ESTIMATION OF DARTS
         Jun-Liang Lin; Academia Sinica
         Yi-Lin Sung; Academia Sinica
         Cheng-Yao Hong; Academia Sinica
         Han-Hung Lee; Academia Sinica
         Tyng-Luh Liu; Academia Sinica
 
 MLR-APPL-IVSMR-1.12: IMPROVED MULTICLASS ADABOOST FOR IMAGE CLASSIFICATION: THE ROLE OF TREE OPTIMIZATION
         Arman Zharmagambetov; University of California, Merced
         Magzhan Gabidolla; University of California, Merced
         Miguel Á. Carreira-Perpiñán; University of California, Merced