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08/16/2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Graph Neural Network (GNN) has demonstrated extraordinary performance in...
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04/24/2021
Achieving Small Test Error in Mildly Overparameterized Neural Networks
Recent theoretical works on over-parameterized neural nets have focused ...
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07/02/2020
The Global Landscape of Neural Networks: An Overview
One of the major concerns for neural network training is that the non-co...
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12/31/2019
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
Traditional landscape analysis of deep neural networks aims to show that...
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05/22/2018
Adding One Neuron Can Eliminate All Bad Local Minima
One of the main difficulties in analyzing neural networks is the non-con...
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02/19/2018
Understanding the Loss Surface of Neural Networks for Binary Classification
It is widely conjectured that the reason that training algorithms for ne...
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06/08/2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
We consider the problem of detecting out-of-distribution images in neura...
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10/13/2016