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06/05/2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
The proliferation of pretrained models, as a result of advancements in p...
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04/06/2023
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks
Unraveling the reasons behind the remarkable success and exceptional gen...
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10/17/2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Recent advances on large-scale pre-training have shown great potentials ...
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11/09/2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Deep neural networks are susceptible to adversarially crafted, small and...
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09/13/2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Automated machine learning (AutoML) usually involves several crucial com...
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09/05/2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Recent advances on Out-of-Distribution (OoD) generalization reveal the r...
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09/02/2021
Adversarial Robustness for Unsupervised Domain Adaptation
Extensive Unsupervised Domain Adaptation (UDA) studies have shown great ...
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06/07/2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms
Deep learning has achieved tremendous success with independent and ident...
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01/05/2021
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA), which aims to learn models in ...
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12/22/2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Automated data augmentation has shown superior performance in image reco...
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12/17/2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
While deep learning demonstrates its strong ability to handle independen...
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01/23/2020
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient
Multi-objective Neural Architecture Search (NAS) aims to discover novel ...
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02/10/2018
