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CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks


Nov 11, 2022
Xuan Rao, Bo Zhao, Xiaosong Yi, Derong Liu

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Symmetries, flat minima, and the conserved quantities of gradient flow


Oct 31, 2022
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

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* Preliminary version; comments welcome 

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Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples


Oct 16, 2022
Hui Liu, Bo Zhao, Kehuan Zhang, Peng Liu

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MSRL: Distributed Reinforcement Learning with Dataflow Fragments


Oct 03, 2022
Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Peter Pietzuch, Lei Chen

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Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation


Jul 21, 2022
Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao

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LIMO: Latent Inceptionism for Targeted Molecule Generation


Jun 17, 2022
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu

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* 16 pages, 5 figures, ICML 2022 

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Privacy for Free: How does Dataset Condensation Help Privacy?


Jun 01, 2022
Tian Dong, Bo Zhao, Lingjuan Lyu

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* Accepted by ICML 2022 as Oral 

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FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders


May 23, 2022
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You

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* A new paradigm for privacy-preserving face recognition via MAE 

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Symmetry Teleportation for Accelerated Optimization


May 21, 2022
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

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