Oceania
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- Health & Medicine > Pharmaceuticals & Biotechnology (1.00)
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- North America > United States > Rhode Island > Providence County > Providence (0.14)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.70)
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- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.73)
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Improved techniques for deterministic l 2 robustness
Neural Information Processing Systems
To address this problem, Anil et al. [2018] introduce Gradient Norm Preserving
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- North America > United States > Maryland (0.04)
- Europe > Sweden > Stockholm > Stockholm (0.04)
- Oceania > Australia > New South Wales > Sydney (0.04)
- North America > United States > Oregon > Benton County > Corvallis (0.04)
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Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
Neural Information Processing Systems
Kernel methods augmented with random features give scalable algorithms for learning from big data.
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Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
Neural Information Processing Systems
Adversarial robustness of a classifier describes its stability in classification under adversarial manipulations of the input.
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- North America > Canada > Ontario > Toronto (0.14)
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- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.15)
- North America > Canada > Ontario > Toronto (0.14)
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Embedding Principle of Loss Landscape of Deep Neural Networks
Neural Information Processing Systems
Understanding the structure of loss landscape of deep neural networks (DNNs) is obviously important. In this work, we prove an embedding principle that the loss landscape of a DNN "contains" all the critical points of all the narrower DNNs.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.86)
