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. 2311.05241
  4. Cited By
When Meta-Learning Meets Online and Continual Learning: A Survey

When Meta-Learning Meets Online and Continual Learning: A Survey

9 November 2023
Jaehyeon Son
Soochan Lee
Gunhee Kim
    OOD
    CLL
ArXivPDFHTML

Papers citing "When Meta-Learning Meets Online and Continual Learning: A Survey"

10 / 10 papers shown
Title
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao
Xu Chu
Yasha Wang
LRM
36
6
0
10 Oct 2024
Structured State Space Models for In-Context Reinforcement Learning
Structured State Space Models for In-Context Reinforcement Learning
Chris Xiaoxuan Lu
Yannick Schroecker
Albert Gu
Emilio Parisotto
Jakob N. Foerster
Satinder Singh
Feryal M. P. Behbahani
AI4TS
84
80
0
07 Mar 2023
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in
  Question Answering Models
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Livska
Tomávs Kovciský
E. Gribovskaya
Tayfun Terzi
Eren Sezener
...
Susannah Young
Ellen Gilsenan-McMahon
Sophia Austin
Phil Blunsom
Angeliki Lazaridou
KELM
220
89
0
23 May 2022
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
222
122
0
07 Oct 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
234
690
0
27 Aug 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu
Xuekai Li
Yuan-Fang Li
Reza Haffari
Guilin Qi
Yujin Zhu
Guoqiang Xu
CLL
27
66
0
06 Jan 2021
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
166
96
0
17 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1