Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization

29 June 2020

Papers citing "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization"

5 / 5 papers shown

Title
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 83 2 0 10 Feb 2025
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features Inseop Chung Kiyoon Yoo Nojun Kwak VLM 16 0 0 08 Dec 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 25 20 0 14 Feb 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 240 205 0 25 Sep 2019