Search Results - Geisa, Ali

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  1. 1
    Why do networks have inhibitory/negative connections?

    Why do networks have inhibitory/negative connections? by Wang, Qingyang, Powell, Michael A, Geisa, Ali, Bridgeford, Eric, Priebe, Carey E, Vogelstein, Joshua T

    Published in arXiv.org
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  2. 2
    Polarity is all you need to learn and transfer faster

    Polarity is all you need to learn and transfer faster by Wang, Qingyang, Powell, Michael A, Geisa, Ali, Bridgeford, Eric W, Vogelstein, Joshua T

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  3. 3
    Towards a theory of out-of-distribution learning

    Towards a theory of out-of-distribution learning by Dey, Jayanta, Geisa, Ali, Mehta, Ronak, Tomita, Tyler M, Helm, Hayden S, Xu, Haoyin, Eaton, Eric, Dick, Jeffery, Priebe, Carey E, Vogelstein, Joshua T

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  4. 4
    Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference

    Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference by Dey, Jayanta, Xu, Haoyin, LeVine, Will, De Silva, Ashwin, Tomita, Tyler M, Geisa, Ali, Chu, Tiffany, Desman, Jacob, Vogelstein, Joshua T

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  5. 5
    A Simple Lifelong Learning Approach

    A Simple Lifelong Learning Approach by Vogelstein, Joshua T, Dey, Jayanta, Helm, Hayden S, LeVine, Will, Mehta, Ronak D, Tomita, Tyler M, Xu, Haoyin, Geisa, Ali, Wang, Qingyang, Gido M van de Ven, Gao, Chenyu, Yang, Weiwei, Tower, Bryan, Larson, Jonathan, White, Christopher M, Priebe, Carey E

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  6. 6
    Inducing a hierarchy for multi-class classification problems

    Inducing a hierarchy for multi-class classification problems by Helm, Hayden S, Yang, Weiwei, Bharadwaj, Sujeeth, Lytvynets, Kate, Riva, Oriana, White, Christopher, Geisa, Ali, Priebe, Carey E

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  7. 7
    A partition-based similarity for classification distributions

    A partition-based similarity for classification distributions by Helm, Hayden S, Mehta, Ronak D, Duderstadt, Brandon, Yang, Weiwei, White, Christoper M, Geisa, Ali, Vogelstein, Joshua T, Priebe, Carey E

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