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12/20/2022
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Given the success with in-context learning of large pre-trained language...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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09/16/2022
Whole-Body Lesion Segmentation in 18F-FDG PET/CT
There has been growing research interest in using deep learning based me...
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06/13/2022
Rank Diminishing in Deep Neural Networks
The rank of neural networks measures information flowing across layers. ...
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05/25/2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Prompt tuning (PT) is an effective approach to adapting pre-trained lang...
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04/10/2020
