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Memory Efficient Continual Learning with Transformers

Memory Efficient Continual Learning with Transformers

9 March 2022
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
    CLL
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Papers citing "Memory Efficient Continual Learning with Transformers"

33 / 33 papers shown
Title
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning
  for Noisy Label Learning
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
Yeachan Kim
Junho Kim
SangKeun Lee
NoLa
AAML
27
2
0
31 Oct 2024
Fine-grained Attention I/O Complexity: Comprehensive Analysis for
  Backward Passes
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
44
15
0
12 Oct 2024
Brain-inspired continual pre-trained learner via silent synaptic
  consolidation
Brain-inspired continual pre-trained learner via silent synaptic consolidation
Xuming Ran
Juntao Yao
Yusong Wang
Mingkun Xu
Dianbo Liu
AAML
CLL
13
0
0
08 Oct 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
31
4
0
13 Jul 2024
PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and
  Evolving Speaker Characteristics
PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and Evolving Speaker Characteristics
Amir Nassereldine
Dancheng Liu
Chenhui Xu
Jinjun Xiong
29
0
0
21 Jun 2024
Controlling Forgetting with Test-Time Data in Continual Learning
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh
Rahaf Aljundi
Eugene Belilovsky
CLL
VLM
KELM
19
3
0
19 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng
Shengjie Qiu
Chengming Shi
Qianli Ma
KELM
CLL
28
14
0
10 Jun 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
36
1
0
22 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
27
30
0
18 May 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLM
CLL
27
5
0
22 Apr 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
14
6
0
18 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
27
8
0
27 Mar 2024
Reconstruct before Query: Continual Missing Modality Learning with
  Decomposed Prompt Collaboration
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
Shu Zhao
Xiaohan Zou
Tan Yu
Huijuan Xu
25
1
0
17 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
23
10
0
13 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in
  Continual Learning
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
A. Hengel
VLM
DiffM
65
3
0
12 Mar 2024
Balancing the Causal Effects in Class-Incremental Learning
Balancing the Causal Effects in Class-Incremental Learning
Junhao Zheng
Ruiyan Wang
Chongzhi Zhang
Hu Feng
Qianli Ma
CML
CLL
26
0
0
15 Feb 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal
  Tasks
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai
Mohammad Rostami
27
4
0
27 Jan 2024
Continual Learning with Low Rank Adaptation
Continual Learning with Low Rank Adaptation
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
CLL
23
10
0
29 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
17
6
0
31 Oct 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
8
0
0
24 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
10
1
0
29 Sep 2023
A Natural Gas Consumption Forecasting System for Continual Learning
  Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Radek Svoboda
Sebastian Basterrech
Jedrzej Kozal
Jan Platoš
Michal Wo'zniak
11
3
0
07 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
29
45
0
16 Jul 2023
Towards Robust and Efficient Continual Language Learning
Towards Robust and Efficient Continual Language Learning
Adam Fisch
Amal Rannen-Triki
Razvan Pascanu
J. Bornschein
Angeliki Lazaridou
E. Gribovskaya
MarcÁurelio Ranzato
CLL
11
1
0
11 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
A. Hengel
VLM
CLL
27
95
0
05 Jul 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu
Yifeng Zhu
Chongkai Gao
Yihao Feng
Qian Liu
Yuke Zhu
Peter Stone
CLL
27
103
0
05 Jun 2023
On the Usage of Continual Learning for Out-of-Distribution
  Generalization in Pre-trained Language Models of Code
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
M. Weyssow
Xin Zhou
Kisub Kim
David Lo
H. Sahraoui
CLL
KELM
14
6
0
06 May 2023
I2I: Initializing Adapters with Improvised Knowledge
I2I: Initializing Adapters with Improvised Knowledge
Tejas Srinivasan
Furong Jia
Mohammad Rostami
Jesse Thomason
CLL
18
6
0
04 Apr 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
19
585
0
31 Jan 2023
Continual Learning with Transformers for Image Classification
Continual Learning with Transformers for Image Classification
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
41
21
0
28 Jun 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
216
81
0
06 Dec 2021
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
163
0
21 Aug 2019
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
21
113
0
14 Jun 2018
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