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Multi-Resolution Weak Supervision for Sequential Data
Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Fries, Daniel Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Neural Information Processing Systems http://nips.cc/
MarksmanBackdoor: BackdoorAttackswith ArbitraryTargetClass
In recent years, machine learning models have been shown to be vulnerable to backdoor attacks.
Mirrored Langevin Dynamics
Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
Neural Information Processing Systems http://nips.cc/
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Neural Information Processing Systems http://nips.cc/
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
In this work, we treat variational flows as dynamical systems, and leverage shadowing theory to elucidate this behavior via theoretical guarantees on the error of sampling, density evaluation, and ELBO estimation.