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06/23/2022
A novel adversarial learning strategy for medical image classification
Deep learning (DL) techniques have been extensively utilized for medical...
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04/13/2022
De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy
In recent years, neural architecture search (NAS) has shown great compet...
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01/17/2022
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
The maturity of structural health monitoring technology brings ever-incr...
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02/21/2021
Delayed Rewards Calibration via Reward Empirical Sufficiency
Appropriate credit assignment for delay rewards is a fundamental challen...
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02/10/2021
Inductive Granger Causal Modeling for Multivariate Time Series
Granger causal modeling is an emerging topic that can uncover Granger ca...
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02/22/2020
Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection
This paper studies a new problem, namely active lighting recurrence (ALR...
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06/02/2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Cold-start problems are long-standing challenges for practical recommend...
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05/09/2018
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks
This paper presents the Neural Cache architecture, which re-purposes cac...
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12/08/2016
