Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation
for Few-shot Learning

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning

18 April 2021

Bill Yuchen Lin

Mohammad Rostami

Xiang Ren

Papers citing "Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning"

10 / 10 papers shown

Title
I2I: Initializing Adapters with Improvised Knowledge Tejas Srinivasan Furong Jia Mohammad Rostami Jesse Thomason CLL 32 6 0 04 Apr 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation Yuliang Cai Jesse Thomason Mohammad Rostami VLM CLL 19 11 0 25 Mar 2023
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 32 69 0 23 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 127 94 0 06 Oct 2022
On Continual Model Refinement in Out-of-Distribution Data Streams Bill Yuchen Lin Sida I. Wang Xi Lin Robin Jia Lin Xiao Xiang Ren Wen-tau Yih CLL 28 29 0 04 May 2022
Continual Sequence Generation with Adaptive Compositional Modules Yanzhe Zhang Xuezhi Wang Diyi Yang KELM CLL 43 42 0 20 Mar 2022
ConTinTin: Continual Learning from Task Instructions Wenpeng Yin Jia Li Caiming Xiong CLL 29 29 0 16 Mar 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 218 249 0 19 Oct 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 6,984 0 20 Apr 2018