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03/11/2023
OCCL: a Deadlock-free Library for GPU Collective Communication
Various distributed deep neural network (DNN) training technologies lead...
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02/13/2023
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
As the size of deep learning models gets larger and larger, training tak...
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10/15/2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Recently, implicit graph neural networks (GNNs) have been proposed to ca...
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05/08/2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Recent literature focuses on utilizing the entity information in the sen...
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05/05/2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
We study dangling-aware entity alignment in knowledge graphs (KGs), whic...
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02/22/2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Graph neural networks (GNNs) are widely used for modelling graph-structu...
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10/28/2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Deep learning frameworks such as TensorFlow and PyTorch provide a produc...
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05/17/2021
A Fusion-Denoising Attack on InstaHide with Data Augmentation
InstaHide is a state-of-the-art mechanism for protecting private trainin...
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12/13/2020
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes
Node classification on graph data is an important task on many practical...
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08/10/2020