Search Results for author: Haoyin Xu

Found 4 papers, 4 papers with code

Deep Discriminative to Kernel Density Networks for Calibrated Inference

1 code implementation31 Jan 2022 Jayanta Dey, Will LeVine, Haoyin Xu, Ashwin De Silva, Tyler M. Tomita, Ali Geisa, Tiffany Chu, Jacob Desman, Joshua T. Vogelstein

In this paper, we leveraged the fact that deep models, including both random forests and deep-nets, learn internal representations which are unions of polytopes with affine activation functions to conceptualize them both as partitioning rules of the feature space.

Out-of-Distribution Detection regression

Simplest Streaming Trees

2 code implementations16 Oct 2021 Haoyin Xu, Jayanta Dey, Sambit Panda, Joshua T. Vogelstein

In a benchmark suite containing 72 classification problems (the OpenML-CC18 data suite), we illustrate that our approach, Stream Decision Forest (SDF), does not suffer from either of the aforementioned limitations.

Continual Learning Transfer Learning

Omnidirectional Transfer for Quasilinear Lifelong Learning

1 code implementation27 Apr 2020 Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Ali Geisa, Haoyin Xu, Gido M. van de Ven, Emily Chang, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe

But striving to avoid forgetting sets the goal unnecessarily low: the goal of lifelong learning, whether biological or artificial, should be to improve performance on all tasks (including past and future) with any new data.

Federated Learning Transfer Learning

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