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Continual Learners are Incremental Model Generalizers

Continual Learners are Incremental Model Generalizers

21 June 2023
Jaehong Yoon
Sung Ju Hwang
Yu Cao
    CLL
ArXivPDFHTML

Papers citing "Continual Learners are Incremental Model Generalizers"

12 / 12 papers shown
Title
Scalable Strategies for Continual Learning with Replay
Scalable Strategies for Continual Learning with Replay
Truman Hickok
CLL
31
0
0
18 May 2025
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language
  Models
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim
Jaehong Yoon
Seonghyeon Ye
Sangmin Bae
Namgyu Ho
Sung Ju Hwang
Se-Young Yun
KELM
51
10
0
14 Nov 2023
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal
  Localized Alignment
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
Jaewoo Lee
Jaehong Yoon
Wonjae Kim
Yunji Kim
Sung Ju Hwang
CLL
47
1
0
12 Oct 2023
Knowledge Accumulation in Continually Learned Representations and the
  Issue of Feature Forgetting
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
Timm Hess
Eli Verwimp
Gido M. van de Ven
Tinne Tuytelaars
CLL
42
9
0
03 Apr 2023
Is forgetting less a good inductive bias for forward transfer?
Is forgetting less a good inductive bias for forward transfer?
Jiefeng Chen
Timothy Nguyen
Dilan Görür
Arslan Chaudhry
CLL
62
14
0
14 Mar 2023
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via
  Feature Distillation
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Yixuan Wei
Han Hu
Zhenda Xie
Zheng Zhang
Yue Cao
Jianmin Bao
Dong Chen
B. Guo
CLIP
94
124
0
27 May 2022
Revealing the Dark Secrets of Masked Image Modeling
Revealing the Dark Secrets of Masked Image Modeling
Zhenda Xie
Zigang Geng
Jingcheng Hu
Zheng Zhang
Han Hu
Yue Cao
VLM
199
105
0
26 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
327
7,544
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
401
5,870
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
316
3,387
0
09 Mar 2020
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
638
11,762
0
09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
186
526
0
27 Jun 2012
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