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An Information-Theoretic Approach to Transferability in ...
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由 Y Bao 著作2019被引用 151 次 — Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost of related tasks.
An Information-Theoretic Approach to Transferability in ...
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由 Y Bao 著作2019被引用 151 次 — Combining tasks with different transferability patterns has a more significant improvement to the overall performance of the target task. 4.3 Task transfer ...
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An Information-Theoretic Metric of Transferability for Task...
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由 Y Bao 著作被引用 3 次 — In this paper, we present a novel metric, H-score, an easily-computable evaluation function that estimates the performance of transferred representations from ...
[PDF] An Information-Theoretic Approach to Transferability ...
Semantic Scholar
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A novel metric, H-score, an easily-computable evaluation function that estimates the performance of transferred representations from one task to another.
An Information-Theoretic Approach to Transferability in ...
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2022年12月20日 — Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost ...
An Information-Theoretic Approach to Transferability in ...
DBLP
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2024年5月7日 — Bibliographic details on An Information-Theoretic Approach to Transferability in Task Transfer Learning.
Task Transfer Learning - Yang Li
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Typically, transferability is either measured experimentally or inferred through task relatedness, which is often defined without a clear operational meaning.
An Information-Theoretic Approach to Transferability in Task ...
SAIL-Toyota Center For AI Research
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SAIL-Toyota Center For AI Research
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An Information-Theoretic Approach to Transferability in Task Transfer Learning. Author(s). Yajie Bao. Yang Li. Shao-Lun Huang. Lin Zhang. Lizhong Zheng.
An Information-Theoretic Approach to Transferability in ...
ResearchGate
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To evaluate the proposed method, we compared it to not using transfer learning, to using transfer learning using a dataset selected by a shapelelt-based ...
[2306.06731] An information-Theoretic Approach to Semi- ...
arXiv
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arXiv
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由 D Jakubovitz 著作2023被引用 1 次 — In this work we suggest novel information-theoretic approaches for the analysis of the performance of deep neural networks in the context of transfer learning.