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piecewise linear function
piecewise linear function
13 papers
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piecewise linear
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relu activation
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relu network
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linear region
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neural network
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neural network optimization
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network architecture
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large-margin classifier
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alternating optimization
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reward function
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Papers
What do Graph Neural Networks learn? Insights from Tropical Geometry
NIPS 2024
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions
JMLR 2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
NIPS 2022
Approximating Lipschitz continuous functions with GroupSort neural networks
AISTATS 2021
On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity
AISTATS 2021
Nested Barycentric Coordinate System as an Explicit Feature Map
AISTATS 2021
Learning to Approximate a Bregman Divergence
NIPS 2020
Reverse-engineering deep ReLU networks
ICML 2020
Complexity of Linear Regions in Deep Networks
ICML 2019
Fast Algorithms for Segmented Regression
ICML 2016
Coresets for k-Segmentation of Streaming Data
NIPS 2014
A POMDP Extension with Belief-dependent Rewards
NIPS 2010
Learning Monotonic Transformations for Classification
NIPS 2007
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