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Transfer without Forgetting

Transfer without Forgetting

1 June 2022
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
    CLL
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Papers citing "Transfer without Forgetting"

32 / 32 papers shown
Title
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
Weixi Zheng
Aoling Huang. Jingping Yuan
Jingping Yuan
Haoyu Zhao
Zhou Zhao
Yongchao Xu
Thierry Géraud
CLL
53
0
0
08 Mar 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
28
0
0
03 Jan 2025
FedRewind: Rewinding Continual Model Exchange for Decentralized
  Federated Learning
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
Luca Palazzo
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
S. Palazzo
C. Spampinato
FedML
26
0
0
14 Nov 2024
BiSSL: A Bilevel Optimization Framework for Enhancing the Alignment Between Self-Supervised Pre-Training and Downstream Fine-Tuning
BiSSL: A Bilevel Optimization Framework for Enhancing the Alignment Between Self-Supervised Pre-Training and Downstream Fine-Tuning
Gustav Wagner Zakarias
Lars Kai Hansen
Zheng-Hua Tan
32
0
0
03 Oct 2024
May the Forgetting Be with You: Alternate Replay for Learning with Noisy
  Labels
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
Monica Millunzi
Lorenzo Bonicelli
Angelo Porrello
Jacopo Credi
Petter N. Kolm
Simone Calderara
CLL
40
2
0
26 Aug 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
CLL
35
3
0
22 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label
  Continual Learning
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
23
0
0
19 Jul 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
41
4
0
13 Jul 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
45
3
0
19 Jun 2024
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for
  Domain Generalization in Video Object Segmentation
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation
Islam I. Osman
Mohamed S. Shehata
35
0
0
29 May 2024
Robust and Explainable Fine-Grained Visual Classification with Transfer
  Learning: A Dual-Carriageway Framework
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
Zheming Zuo
Joseph Smith
Jonathan Stonehouse
Boguslaw Obara
44
2
0
09 May 2024
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning
  for Medical Images
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images
Mohammad Areeb Qazi
Ibrahim Almakky
Anees Ur Rehman Hashmi
Santosh Sanjeev
Mohammad Yaqub
MoMe
37
3
0
22 Apr 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang
Wu-Jun Li
CLL
40
39
0
30 Mar 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
45
1
0
29 Mar 2024
Online Continual Learning For Interactive Instruction Following Agents
Online Continual Learning For Interactive Instruction Following Agents
Byeonghwi Kim
Minhyuk Seo
Jonghyun Choi
CLL
LM&Ro
68
7
0
12 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
Anton Van Den Hengel
VLM
DiffM
83
3
0
12 Mar 2024
Bayesian Transfer Learning
Bayesian Transfer Learning
Piotr M. Suder
Jason Xu
David B. Dunson
36
5
0
20 Dec 2023
Continual Learning for Image Segmentation with Dynamic Query
Continual Learning for Image Segmentation with Dynamic Query
Weijia Wu
Yuzhong Zhao
Zhuang Li
Lianlei Shan
Hong Zhou
Mike Zheng Shou
VLM
CLL
46
15
0
29 Nov 2023
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
28
4
0
09 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate
  Accuracy-Robustness Tradeoff
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
Satoshi Suzuki
Shinýa Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
30
4
0
31 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with
  Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Yanyan Huang
Weiqin Zhao
Shujun Wang
Yu Fu
Yuming Jiang
Lequan Yu
CLL
30
18
0
25 Aug 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tianlin Liu
Stefano Soatto
LRM
MoMe
CLL
24
15
0
16 Jul 2023
A baseline on continual learning methods for video action recognition
A baseline on continual learning methods for video action recognition
Giulia Castagnolo
C. Spampinato
Francesco Rundo
Daniela Giordano
S. Palazzo
CLL
29
2
0
20 Apr 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning
  of Diseases
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLL
MedIm
23
11
0
18 Apr 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Mingxuan Liu
Subhankar Roy
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
SSL
34
10
0
28 Mar 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
38
601
0
31 Jan 2023
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual Learning
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDL
CLL
24
3
0
09 Jan 2023
Unveiling the Tapestry: the Interplay of Generalization and Forgetting
  in Continual Learning
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
39
1
0
21 Nov 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
18
44
0
12 Oct 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
32
4
0
11 Oct 2022
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
131
35
0
23 Jan 2021
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
338
11,684
0
09 Mar 2017
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