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A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and LearningT-PAMI 2021
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Deep CockTail Networks: A Universal Framework for Visual Multi-source Domain AdaptationIJCV 2021
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Solving Inefficiency of Self-supervised Representation LearningICCV 2021
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Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency ShiftICCV 2021
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EagleEye: Fast Sub-net Evaluation for Efficient Neural Network PruningECCV 2020
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Generalizing Energy-based Generative ConvNets from Particle Evolution PerspectiveTPAMI 2020
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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic SegmentationAAAI 2020
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SNAS: Stochastic Neural Architecture SearchICLR 2019
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FRAME Revisited: An Interpretation View Based on Particle EvolutionAAAI 2019
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Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain AdaptationICCV 2019
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Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution MatchingICML 2019
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Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object DetectionCVPR 2018
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Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category ShiftCVPR 2018
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Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural NetworksAAAI 2018 Oral
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Cost-Effective Object Detection: Active Sample Mining with Switchable Selection CriteriaT-NNLS 2018
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Convolutional Memory Blocks for Depth Data Representation LearningIJCAI 2018
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Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised LearningTCSVT 2017
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Interpretable Structure-Evolving LSTMCVPR 2017
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Active Self-Paced Learning for Cost-Effective and Progressive Face IdentificationTPAMI 2017
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Cross-Domain Visual Matching via Generalized Similarity Measure and Feature LearningTPAMI 2016
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SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video SegmentationCVPR 2015
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Discriminatively Trained And-Or Graph Models for Object Shape DetectionTPAMI 2014