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pro vyhledávání: '"Ziskind, Avi"'
Most real-world applications that employ deep neural networks (DNNs) quantize them to low precision to reduce the compute needs. We present a method to improve the robustness of quantized DNNs to white-box adversarial attacks. We first tackle the lim
Externí odkaz:
http://arxiv.org/abs/2312.00105
Self-supervised learning methods overcome the key bottleneck for building more capable AI: limited availability of labeled data. However, one of the drawbacks of self-supervised architectures is that the representations that they learn are implicit a
Externí odkaz:
http://arxiv.org/abs/2207.02972
Publikováno v:
Proceedings of the Workshop on Artificial Intelligence Safety (SafeAI 2020) co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb 7, 2020
Explainability and interpretability of AI models is an essential factor affecting the safety of AI. While various explainable AI (XAI) approaches aim at mitigating the lack of transparency in deep networks, the evidence of the effectiveness of these
Externí odkaz:
http://arxiv.org/abs/2003.00431
In this paper, we present a novel approach for the task of eXplainable Question Answering (XQA), i.e., generating natural language (NL) explanations for the Visual Question Answering (VQA) problem. We generate NL explanations comprising of the eviden
Externí odkaz:
http://arxiv.org/abs/1902.05715
Autor:
Ziskind, Avi
Neighboring neurons in cat primary visual cortex (V1) have similar preferred orientation, direction, and spatial frequency. How diverse is their degree of tuning for these properties? Are they also clustered in their tuning for the spatial phase of a
Publikováno v:
J. Chem. Phys. 137, 244906 (2012)
We study the first passage time for a polymer, that we call the narrow encounter time (NETP), to reach a small target located on the surface of a microdomain. The polymer is modeled as a Freely Joint Chain (beads connected by springs with a resting n
Externí odkaz:
http://arxiv.org/abs/1301.4092
Akademický článek
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Contents: S1. Supplementary Methods: Description of spike-merging software S2. Supplementary Results: S2.1 Analysis with spontaneous activity included S2.2 Clustering of Spontaneous Activity and Measures of Response at the Null Orientation S2.3 Outli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b09db76dcb6b0e5601f41835b1a0d617
Akademický článek
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