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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
15 November 2017
Arun Mallya
Svetlana Lazebnik
CLL
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Github (233★)
Papers citing
"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"
50 / 800 papers shown
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
International Conference on Machine Learning (ICML), 2024
Maciej Wolczyk
Bartłomiej Cupiał
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Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
433
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Class incremental learning with probability dampening and cascaded gated classifier
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Simone Scardapane
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308
0
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02 Feb 2024
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Chaofan Pan
Lingfei Ren
Hao Wang
Linbo Xiong
Wei Wei
Yonghao Li
Xin Yang
564
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25 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
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Lu Yu
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CLL
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186
1
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21 Jan 2024
Towards Open-World Gesture Recognition
International Symposium on Mixed and Augmented Reality (ISMAR), 2024
Junxiao Shen
Matthias De Lange
X. Xu
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Ran Tan
Naveen Suda
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Amy Karlson
Evan Strasnick
123
3
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20 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
bioRxiv (bioRxiv), 2024
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
197
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17 Jan 2024
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Li Shen
Chen Zhao
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Dacheng Tao
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OffRL
259
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Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
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Yukun Zuo
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Liansheng Zhuang
Changsheng Xu
328
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Peter Stone
203
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A Comprehensive Study of Knowledge Editing for Large Language Models
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Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Qing Cui
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
496
126
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02 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
400
20
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28 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
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Junbo Zhang
Tianrui Li
FedML
260
91
0
27 Dec 2023
Recursive Distillation for Open-Set Distributed Robot Localization
Kenta Tsukahara
Kanji Tanaka
218
0
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26 Dec 2023
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
322
5
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20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
531
5
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Journal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
264
49
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16 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zhenrong Liu
Yang Li
Yi Gong
Yik-Chung Wu
CLL
164
2
0
14 Dec 2023
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment
Paniz Halvachi
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
182
0
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11 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
250
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IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
Letian Zhang
Ming Li
Chong Chen
Jie Xu
CLL
162
6
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10 Dec 2023
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
192
5
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08 Dec 2023
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
192
3
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06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
243
2
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06 Dec 2023
MIND: Multi-Task Incremental Network Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jacopo Bonato
Francesco Pelosin
Luigi Sabetta
Alessandro Nicolosi
CLL
313
14
0
05 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
339
4
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02 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen
Jingkuan Song
LianLi Gao
Hengtao Shen
179
2
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01 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
250
42
0
29 Nov 2023
Class-Adaptive Sampling Policy for Efficient Continual Learning
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Mohammad Sabokrou
284
1
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27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
277
6
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26 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
218
2
0
26 Nov 2023
Task adaption by biologically inspired stochastic comodulation
Gauthier Boeshertz
Caroline Haimerl
Cristina Savin
161
0
0
25 Nov 2023
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
Yaqi Liu
Chao Xia
Song Xiao
Qingxiao Guan
Wenqian Dong
Yifan Zhang
Neng H. Yu
189
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22 Nov 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
164
1
0
22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
235
5
0
21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Ali Abbasi
Parsa Nooralinejad
Hamed Pirsiavash
Soheil Kolouri
CLL
KELM
AAML
384
7
0
20 Nov 2023
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang
Kevin Zehua Shen
Zichuan Lin
Bo Yuan
Xueqian Wang
Xiu Li
Deheng Ye
CLL
OffRL
162
9
0
20 Nov 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim
Susik Yoon
Dongmin Park
Youngjun Lee
Hwanjun Song
Jihwan Bang
Jae-Gil Lee
VLM
298
5
0
18 Nov 2023
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
231
5
0
16 Nov 2023
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning
Joshua Andle
Ali Payani
Salimeh Yasaei Sekeh
CLL
237
2
0
16 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Neural Information Processing Systems (NeurIPS), 2023
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedML
CLL
277
63
0
13 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang
Marcello Restelli
FedML
262
2
0
12 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad
Jie Mei
Daniel Lizotte
Y. Mohsenzadeh
SSL
CLL
253
4
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02 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jaya Kalla
Soma Biswas
CLL
306
6
0
02 Nov 2023
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
286
18
0
31 Oct 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning
International Conference on Information and Knowledge Management (CIKM), 2023
Anton Lee
Yaqian Zhang
Heitor Murilo Gomes
Nikolaos Perrakis
Bernhard Pfahringer
CLL
201
3
0
30 Oct 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLL
MoMe
424
3
0
28 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
International Conference on Learning Representations (ICLR), 2023
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
314
17
0
26 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLM
CLL
273
16
0
25 Oct 2023
Visually Grounded Continual Language Learning with Selective Specialization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
307
0
0
24 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Duzhen Zhang
Wei Cong
Jiahua Dong
Yahan Yu
Xiuyi Chen
Yonggang Zhang
Zhen Fang
158
22
0
23 Oct 2023
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