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Deep ReLU Networks Have Surprisingly Few Activation Patterns
Neural Information Processing Systems http://nips.cc/
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Thu H. Nguyen-Phuoc, Chuan Li, Stephen Balaban, Yongliang Yang
Neural Information Processing Systems http://nips.cc/
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ASPiRe: AdaptiveSkillPriorsforReinforcementLearning
Transferring prior experience to new tasks is central to an agent's adaptability. In this work, we aim to accelerate online reinforcement learning by leveraging prior experience from large offline data.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.70)
Gradient-FreeMethodsforNonconvexNonsmooth StochasticCompositionalOptimization
Most of the existing work [2, 5, 6, 7, 8] for nonconvex SCO problem is based on the assumption that both functionsf()andg()are smooth.
Algorithmic Linearly Constrained Gaussian Processes
Neural Information Processing Systems http://nips.cc/
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DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Neural Information Processing Systems http://nips.cc/
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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