Search Results for author: Jayanta Dey

Found 9 papers, 4 papers with code

Deep discriminative to kernel generative modeling

1 code implementation31 Jan 2022 Jayanta Dey, Will LeVine, Ashwin De Silva, Ali Geisa, Jong M. Shin, Haoyin Xu, Tiffany Chu, Leyla Isik, Joshua T. Vogelstein

Via human experiments we illustrate that our kernel generative networks (Kragen) behave more like humans than deep discriminative networks.

Out-of-Distribution Detection

Simplest Streaming Trees

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

Nonetheless, we found that those state-of-the-art algorithms suffer from a number of drawbacks, including performing very poorly on some problems and requiring a huge amount of memory on others.

Continual Learning Transfer Learning

Towards a theory of out-of-distribution learning

no code implementations29 Sep 2021 Ali Geisa, Ronak Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Jeffery Dick, Carey E. Priebe, Joshua T. Vogelstein

This assumption renders these theories inadequate for characterizing 21$^{st}$ century real world data problems, which are typically characterized by evaluation distributions that differ from the training data distributions (referred to as out-of-distribution learning).

Learning Theory

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

Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture

no code implementations2 Dec 2019 Jayanta Dey, Md. Kamrul Hasan

In this paper, we propose a multiframe-based adaptive despeckling (MADS) algorithm to reconstruct a high-resolution B-mode image from raw radio-frequency (RF) data that is based on a multiple input single output (MISO) model.

Image Restoration Noise Estimation

Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers

no code implementations1 Dec 2019 Jayanta Dey, Mohammad Ariful Haque

Thus, we start from the problem of classifying grids with different nominal frequencies and simplify the problem of classification in three stages based on nominal frequency, SVM and finally using PM classifier.

General Classification

An Ensemble SVM-based Approach for Voice Activity Detection

no code implementations5 Feb 2019 Jayanta Dey, Md Sanzid Bin Hossain, Mohammad Ariful Haque

Therefore, a VAD with low complexity and high accuracy is highly desirable for speech processing applications.

Action Detection Activity Detection +3

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