ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.12220
  4. Cited By
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic
  Forgetting

Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting

19 February 2024
Haolin Chen
Philip N. Garner
    CLL
ArXivPDFHTML

Papers citing "Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting"

4 / 4 papers shown
Title
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
112
85
0
22 Oct 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Smith
Yen-Chang Hsu
Lingyu Zhang
Ting Hua
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
123
94
0
12 Apr 2023
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
294
6,927
0
20 Apr 2018
1