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09/17/2023
CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Advances on cryo-electron imaging technologies have led to a rapidly inc...
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12/03/2022
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
Online optimization with multiple budget constraints is challenging sinc...
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07/02/2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
By integrating domain knowledge with labeled samples, informed machine l...
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12/20/2021
Learning for Robust Combinatorial Optimization: Algorithm and Application
Learning to optimize (L2O) has recently emerged as a promising approach ...
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11/01/2021
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Convolutional neural networks (CNNs) are used in numerous real-world app...
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08/12/2021
Mispronunciation Detection and Correction via Discrete Acoustic Units
Computer-Assisted Pronunciation Training (CAPT) plays an important role ...
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05/05/2021
Accent Recognition with Hybrid Phonetic Features
The performance of voice-controlled systems is usually influenced by acc...
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02/09/2021
Robust Bandit Learning with Imperfect Context
A standard assumption in contextual multi-arm bandit is that the true co...
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11/17/2020
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
With the exploding popularity of machine learning, domain knowledge in v...
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09/01/2020
Scaling Up Deep Neural Network Optimization for Edge Inference
Deep neural networks (DNNs) have been increasingly deployed on and integ...
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07/03/2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Inference accuracy of deep neural networks (DNNs) is a crucial performan...
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06/16/2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
To increase the trustworthiness of deep neural network (DNN) classifiers...
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03/12/2018
