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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Deep neural network based adaptive learning for switched systemsarXiv.org, 2022-07 [Peer Reviewed Journal]2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2207.04623Full text available |
| 2 |
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A General Theory for Compositional GeneralizationarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.11743Full text available |
| 3 |
Material Type: Article
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Relational DNN Verification With Cross Executional Bound RefinementarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.10143Full text available |
| 4 |
Material Type: Article
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On the Over-Memorization During Natural, Robust and Catastrophic OverfittingarXiv.org, 2024-042024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.08847Full text available |
| 5 |
Material Type: Article
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Early-Exit with Class Exclusion for Efficient Inference of Neural NetworksarXiv.org, 2024-022024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2309.13443Full text available |
| 6 |
Material Type: Article
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Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial ExamplesarXiv.org, 2024-012024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.13628Full text available |
| 7 |
Material Type: Article
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GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution DetectionarXiv.org, 2023-112023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.09620Full text available |
| 8 |
Material Type: Article
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DropCompute: simple and more robust distributed synchronous training via compute variance reductionarXiv.org, 2023-062023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.10598Full text available |
| 9 |
Material Type: Article
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Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-ThresholdingarXiv.org, 2023-042023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2304.06959Full text available |
| 10 |
Material Type: Article
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Norm-based Generalization Bounds for Compositionally Sparse Neural NetworksarXiv.org, 2023-012023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2301.12033Full text available |
| 11 |
Material Type: Article
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Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream TasksarXiv.org, 2023-012023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2301.11560Full text available |
| 12 |
Material Type: Article
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Fast and Low-Memory Deep Neural Networks Using Binary Matrix FactorizationarXiv.org, 2023-012023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.13468Full text available |
| 13 |
Material Type: Article
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Adaptive Batch Normalization for Training Data with Heterogeneous FeaturesarXiv.org, 2022-112022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2211.02050Full text available |
| 14 |
Material Type: Article
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Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size DataarXiv.org, 2022-112022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2211.14144Full text available |
| 15 |
Material Type: Article
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Seeing is not always believing: The Space of Harmless PerturbationsarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.02095Full text available |
| 16 |
Material Type: Article
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A New Baseline Assumption of Integated Gradients Based on Shaply valuearXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.04821Full text available |
| 17 |
Material Type: Article
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NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision GuaranteearXiv.org, 2022-092022. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2209.08448Full text available |
| 18 |
Material Type: Article
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Neural Active Learning Meets the Partial Monitoring FrameworkarXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08921Full text available |
| 19 |
Material Type: Article
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A Feedforward Unitary Equivariant Neural NetworkarXiv.org, 2022-082022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2208.12146Full text available |
| 20 |
Material Type: Article
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Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based ExplanationarXiv.org, 2022-082022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2109.01369Full text available |
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