MLSP-21: Generative Neural Networks |
Session Type: Poster |
Time: Wednesday, 9 June, 15:30 - 16:15 |
Location: Gather.Town |
Session Chair: Danilo Comminiello, Sapienza University of Rome
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MLSP-21.1: DAG-GAN: CAUSAL STRUCTURE LEARNING WITH GENERATIVE ADVERSARIAL NETS |
Yinghua Gao; Tsinghua University |
Li Shen; Tencent AI Lab |
Shu-Tao Xia; Tsinghua University |
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MLSP-21.2: RELAXED WASSERSTEIN WITH APPLICATIONS TO GANS |
Xin Guo; University of California, Berkeley |
Johnny Hong; University of California, Berkeley |
Tianyi Lin; University of California, Berkeley |
Nan Yang; University of California, Berkeley |
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MLSP-21.3: ENVIRONMENT-INDEPENDENT WI-FI HUMAN ACTIVITY RECOGNITION WITH ADVERSARIAL NETWORK |
Zhengyang Wang; University of Science and Technology of China |
Sheng Chen; University of Science and Technology of China |
Wei Yang; University of Science and Technology of China |
Yang Xu; University of Science and Technology of China |
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MLSP-21.4: A ROBUST TO NOISE ADVERSARIAL RECURRENT MODEL FOR NON-INTRUSIVE LOAD MONITORING |
Maria Kaselimi; National Technical University of Athens |
Athanasios Voulodimos; University of West Attica |
Nikolaos Doulamis; National Technical University of Athens |
Anastasios Doulamis; National Technical University of Athens |
Eftychios Protopapadakis; National Technical University of Athens |
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MLSP-21.5: ENHANCING DATA-FREE ADVERSARIAL DISTILLATION WITH ACTIVATION REGULARIZATION AND VIRTUAL INTERPOLATION |
Xiaoyang Qu; Ping An Technology (Shenzhen) Co., Ltd. |
Jianzong Wang; Ping An Technology (Shenzhen) Co., Ltd. |
Jing Xiao; Ping An Technology (Shenzhen) Co., Ltd. |
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MLSP-21.6: SEQUENTIAL ADVERSARIAL ANOMALY DETECTION WITH DEEP FOURIER KERNEL |
Shixiang Zhu; Georgia Institute of Technology |
Henry Yuchi; Georgia Institute of Technology |
Minghe Zhang; Georgia Institute of Technology |
Yao Xie; Georgia Institute of Technology |
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