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Community Exploration: From Offline Optimization to Online Learning
Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
In this paper, we introduce the community exploration problem, which is abstracted from many real-worldapplications.
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Paishun Ting, Karthikeyan Shanmugam, Payel Das
In this paper we propose a novel method that provides contrastive explanations justifying the classification of an input by a black box classifier such as a deep neuralnetwork.
Automated Classification of Model Errors on ImageNet
While the ImageNet dataset has been driving computer vision research over the past decade, significant label noise and ambiguity have made top-1 accuracy an insufficient measure of further progress.
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini, Pascal Poupart, Yaoliang Yu
Neural Information Processing Systems http://nips.cc/
5c186016d0844767209dc36e9e61441b-Paper-Conference.pdf
DeMa's focus on sequences diminishes approximately exponentially.
Graphical Generative Adversarial Networks
Chongxuan LI, Max Welling, Jun Zhu, Bo Zhang
Neural Information Processing Systems http://nips.cc/
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
Neural Information Processing Systems http://nips.cc/
