Interjection
发表于 2025-3-21 19:28:12
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fiscal
发表于 2025-3-21 22:02:40
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不法行为
发表于 2025-3-22 03:42:16
,Concept-Based Analysis of Neural Networks via Vision-Language Models,cifications for vision tasks and the lack of efficient verification procedures. In this paper, we propose to leverage emerging multimodal, vision-language, foundation models (VLMs) as a lens through which we can reason about vision models. VLMs have been trained on a large body of images accompanied
爵士乐
发表于 2025-3-22 06:40:16
,Parallel Verification for ,-Equivalence of Neural Network Quantization,emory. However, it also brings in loss of generalization and even potential errors to the models. In this work, we propose a parallelization technique for formally . the . between quantized models and their original real-valued counterparts. In order to guarantee both . and ., mixed integer linear p
浸软
发表于 2025-3-22 09:50:14
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Ledger
发表于 2025-3-22 14:40:30
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CLEFT
发表于 2025-3-22 19:15:31
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修饰语
发表于 2025-3-22 21:24:02
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浪费物质
发表于 2025-3-23 03:21:10
Iterative Counter-Example Guided Robustness Verification for Neural Networks,y considering different types of abstraction techniques focused toward the non-linearity in the computation in the neural network. We propose a complementary approach of abstracting the neural network by discarding the neurons. Our abstraction is based on the robustness property being verified. We t
创造性
发表于 2025-3-23 05:54:10
Grundkurs Microsoft Dynamics AXout the laborious task of manual heuristic creation and tuning, data-driven approaches demonstrate significant potential by extracting crucial patterns from a small set of data points. However, at present, symbolic methods generally surpass data-driven solvers in performance. In this work, we develo