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06/30/2023
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog
A ReLU neural network leads to a finite polyhedral decomposition of inpu...
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05/02/2023
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection
Researchers typically investigate neural network representations by exam...
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11/23/2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Previous work has shown that a neural network with the rectified linear ...
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07/19/2022
Self-Supervision Can Be a Good Few-Shot Learner
Existing few-shot learning (FSL) methods rely on training with a large l...
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07/14/2022
Source-Free Domain Adaptation for Real-world Image Dehazing
Deep learning-based source dehazing methods trained on synthetic dataset...
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05/06/2022
Prompt Distribution Learning
We present prompt distribution learning for effectively adapting a pre-t...
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02/12/2022
Improving Fraud detection via Hierarchical Attention-based Graph Neural Network
Graph neural networks (GNN) have emerged as a powerful tool for fraud de...
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04/08/2021
Phoneme-based Distribution Regularization for Speech Enhancement
Existing speech enhancement methods mainly separate speech from noises a...
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04/13/2020
