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09/30/2022
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture
To deploy deep learning algorithms on resource-limited scenarios, an eme...
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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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08/13/2021
DeepIC: Coding for Interference Channels via Deep Learning
The two-user interference channel is a model for multi one-to-one commun...
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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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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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12/15/2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Despite the empirical success in various domains, it has been revealed t...
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12/04/2020
Batch Group Normalization
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
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09/11/2020
Achieving Adversarial Robustness via Sparsity
Network pruning has been known to produce compact models without much ac...
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03/13/2017
