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08/25/2023
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Open intent detection, a crucial aspect of natural language understandin...
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02/16/2023
Intrinsic and extrinsic deep learning on manifolds
We propose extrinsic and intrinsic deep neural network architectures as ...
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10/26/2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
The invention of transformer-based models such as BERT, GPT, and RoBERTa...
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09/04/2021
Training Graph Neural Networks by Graphon Estimation
In this work, we propose to train a graph neural network via resampling ...
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08/21/2020
Optimization of Graph Neural Networks with Natural Gradient Descent
In this work, we propose to employ information-geometric tools to optimi...
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07/03/2020
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
The success of deep neural networks (DNN) in machine perception applicat...
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09/07/2018
