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Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
Neural Information Processing Systems http://nips.cc/
Hierarchical Graph Representation Learning with Differentiable Pooling
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec
This lack of hierarchical structure is especially problematic for the task of graph classification, where the goal is to predict thelabelassociatedwithan entiregraph.
Thompson Sampling and Approximate Inference
My Phan, Yasin Abbasi Yadkori, Justin Domke
Neural Information Processing Systems http://nips.cc/
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries
This highlights the need for better approaches to handle complex, multifaceted queries in scientific research.
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding, guiguang ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
DNN pruning is an approach for deep model compression, which aimsateliminating someparameters withtolerable performance degradation.
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
Neural Information Processing Systems http://nips.cc/
Provable Tempered Overfitting of Minimal Nets and Typical Nets
For both learning rules, we prove overfitting is tempered.
Stochastic Spectral and Conjugate Descent Methods
Dmitry Kovalev, Peter Richtarik, Eduard Gorbunov, Elnur Gasanov
Neural Information Processing Systems http://nips.cc/
Nonzero-sum Adversarial Hypothesis Testing Games
Sarath Yasodharan, Patrick Loiseau
Neural Information Processing Systems http://nips.cc/