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05/15/2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Diffusion models have emerged as a powerful paradigm for generation, obt...
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04/03/2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Current methods for few-shot fine-tuning of pretrained masked language m...
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06/10/2021
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
While large-scale pretrained language models have obtained impressive re...
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06/08/2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Adapting large-scale pretrained language models to downstream tasks via ...
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06/08/2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
State-of-the-art parameter-efficient fine-tuning methods rely on introdu...
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09/13/2019
simple but effective techniques to reduce biases
There have been several studies recently showing that strong natural lan...
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05/03/2018
Learning-Based Compressive MRI
In the area of magnetic resonance imaging (MRI), an extensive range of n...
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05/13/2014