Intrinsic Dimensionality Explains the Effectiveness of Language Model
Fine-Tuning

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

22 December 2020

Armen Aghajanyan

Luke Zettlemoyer

Papers citing "Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning"

19 / 119 papers shown

Title
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning Mozhdeh Gheini Xuezhe Ma Jonathan May 48 5 0 25 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 108 53 0 23 May 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models Rabeeh Karimi Mahabadi Luke Zettlemoyer James Henderson Marzieh Saeidi Lambert Mathias Ves Stoyanov Majid Yazdani VLM 34 70 0 03 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 27 20 0 30 Mar 2022
Parameter-efficient Model Adaptation for Vision Transformers Xuehai He Chunyuan Li Pengchuan Zhang Jianwei Yang Qing Guo 30 84 0 29 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models Ning Ding Yujia Qin Guang Yang Fu Wei Zonghan Yang ... Jianfei Chen Yang Liu Jie Tang Juan Li Maosong Sun 34 197 0 14 Mar 2022
$$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning$ $\mathcal{Y}$ -Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning Yitao Liu Chen An Xipeng Qiu 29 17 0 20 Feb 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun Yunfan Shao Hong Qian Xuanjing Huang Xipeng Qiu VLM 50 256 0 10 Jan 2022
On Transferability of Prompt Tuning for Natural Language Processing Yusheng Su Xiaozhi Wang Yujia Qin Chi-Min Chan Yankai Lin ... Peng Li Juanzi Li Lei Hou Maosong Sun Jie Zhou AAML VLM 28 98 0 12 Nov 2021
Control Prefixes for Parameter-Efficient Text Generation Jordan Clive Kris Cao Marek Rei 44 32 0 15 Oct 2021
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 350 0 13 Oct 2021
How Does Adversarial Fine-Tuning Benefit BERT? J. Ebrahimi Hao Yang Wei Zhang AAML 26 4 0 31 Aug 2021
A Closer Look at How Fine-tuning Changes BERT Yichu Zhou Vivek Srikumar 26 63 0 27 Jun 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 97 1,157 0 18 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 67 468 0 08 Jun 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 22 4,098 0 01 Jan 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 156 345 0 23 Jul 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018