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11/17/2022
Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent
Large-scale non-convex optimization problems are expensive to solve due ...
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10/27/2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Most state-of-the-art Graph Neural Networks (GNNs) can be defined as a f...
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12/23/2020
Noisy Labels Can Induce Good Representations
The current success of deep learning depends on large-scale labeled data...
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09/24/2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
We study how neural networks trained by gradient descent extrapolate, i....
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01/14/2020
Understanding Generalization in Deep Learning via Tensor Methods
Deep neural networks generalize well on unseen data though the number of...
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05/30/2019
What Can Neural Networks Reason About?
Neural networks have successfully been applied to solving reasoning task...
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05/25/2018