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05/24/2023
WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity
Federated learning provides a promising privacy-preserving way for utili...
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06/16/2022
PRANC: Pseudo RAndom Networks for Compacting deep models
Communication becomes a bottleneck in various distributed Machine Learni...
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03/12/2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Continual/lifelong learning from a non-stationary input data stream is a...
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02/08/2022
Teaching Networks to Solve Optimization Problems
Leveraging machine learning to optimize the optimization process is an e...
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11/20/2021
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Over the past few decades, numerous attempts have been made to address t...
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11/04/2021
Nyx-Net: Network Fuzzing with Incremental Snapshots
Coverage-guided fuzz testing ("fuzzing") has become mainstream and we ha...
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06/16/2021
Loki: Hardening Code Obfuscation Against Automated Attacks
Software obfuscation is a crucial technology to protect intellectual pro...
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07/05/2020