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01/17/2022
Contrastive Regularization for Semi-Supervised Learning
Consistency regularization on label predictions becomes a fundamental te...
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03/10/2021
Spatially Consistent Representation Learning
Self-supervised learning has been widely used to obtain transferrable re...
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02/05/2021
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Vision-and-Language Pretraining (VLP) has improved performance on variou...
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10/22/2020
Learning Loss for Test-Time Augmentation
Data augmentation has been actively studied for robust neural networks. ...
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05/09/2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019
NeurIPS 2019 AutoDL challenge is a series of six automated machine learn...
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04/21/2020
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models
We design and implement a ready-to-use library in PyTorch for performing...
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04/16/2020
Spatially Attentive Output Layer for Image Classification
Most convolutional neural networks (CNNs) for image classification use a...
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06/13/2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation
In this paper, a neural architecture search (NAS) framework is proposed ...
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05/01/2019