Enhancing Continual Learning with Global Prototypes: Counteracting
Negative Representation Drift

Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift

24 May 2022

Yifan Sun

Niranjan Balasubramanian

Papers citing "Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift"

6 / 6 papers shown

Title
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 165 121 0 05 Dec 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 56 110 0 13 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 249 618 0 04 Dec 2018
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