Publication: Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
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Du, S., Fang, Z., Lan, S., Tan, Y., Günther, M., Wang, S., & Guo, W. (2023). Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. 8719–8729. https://doi.org/10.1145/3581783.3612352
Abstract
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As researchers strive to narrow the gap between machine intelligence and human through the development of artificial intelligence multimedia technologies, it is imperative that we recognize the critical importance of trustworthiness in open-world, which has become ubiquitous in all aspects of daily life for everyone. However, several challenges may create a crisis of trust in current open-world artificial multimedia systems that need to be bridged: 1) Insufficient explanation of predictive results; 2) Inadequate generalization for lea
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Creators (Authors)
- Fang, Zihan
- Lan, Shiyang
- Tan, Yanchao
- Wang, Shiping
- Guo, Wenzhong
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Citations
Du, S., Fang, Z., Lan, S., Tan, Y., Günther, M., Wang, S., & Guo, W. (2023). Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. 8719–8729. https://doi.org/10.1145/3581783.3612352
