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1711.05769
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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
Neural Network Training Using
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Alireza Doostan
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343
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23 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
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Luis Herranz
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211
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18 May 2021
Shared and Private VAEs with Generative Replay for Continual Learning
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90
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17 May 2021
Continual Learning via Bit-Level Information Preserving
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Li-xin Yuan
Yunpeng Chen
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200
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10 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
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147
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Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
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Changhong Zhong
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Ruixuan Wang
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149
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How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
International Conference on Learning Representations (ICLR), 2021
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
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243
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25 Apr 2021
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
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137
9
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19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Benedikt Pfülb
A. Gepperth
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120
14
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19 Apr 2021
On Learning the Geodesic Path for Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
220
143
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17 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
IEEE International Conference on Computer Vision (ICCV), 2021
Eli Verwimp
Matthias De Lange
Tinne Tuytelaars
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156
113
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15 Apr 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
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Yanzhe Zhang
Jiaao Chen
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Diyi Yang
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248
128
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12 Apr 2021
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2021
Yijiang Pang
Chao Huang
R. Liu
94
2
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07 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
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Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
134
19
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06 Apr 2021
Towards Lifelong Learning of End-to-end ASR
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Heng-Jui Chang
Hung-yi Lee
Lin-Shan Lee
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256
35
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04 Apr 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
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Wentian Hao
Xinggang Wang
Mingyuan Tao
Jianqiang Huang
Wenyu Liu
Xiansheng Hua
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165
13
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02 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
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Shipeng Yan
Jiangwei Xie
Xuming He
CLL
255
580
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31 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
British Machine Vision Conference (BMVC), 2021
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
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323
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25 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
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Elisa Ricci
Barbara Caputo
Samuel Rota Buló
169
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25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
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308
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25 Mar 2021
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning
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Mohammad Sabokrou
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VLM
95
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22 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
353
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22 Mar 2021
Gradient Projection Memory for Continual Learning
International Conference on Learning Representations (ICLR), 2021
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
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278
363
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17 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Computer Vision and Pattern Recognition (CVPR), 2021
Umberto Michieli
Pietro Zanuttigh
CLL
271
162
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10 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Neural Information Processing Systems (NeurIPS), 2021
Sakshi Varshney
Vinay Kumar Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
GAN
CLL
149
24
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06 Mar 2021
Towards Open World Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
250
544
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03 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
469
198
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02 Mar 2021
Few-Shot Lifelong Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
123
142
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01 Mar 2021
Continual Learning for Blind Image Quality Assessment
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
176
99
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19 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
International Conference on Machine Learning (ICML), 2021
Idan Achituve
Aviv Navon
Yochai Yemini
Gal Chechik
Ethan Fetaya
GP
296
40
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15 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
Luca Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
345
56
0
29 Jan 2021
Self-Attention Meta-Learner for Continual Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
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93
12
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28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Neurocomputing (Neurocomputing), 2021
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Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLM
CLL
538
478
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25 Jan 2021
Learning Invariant Representation for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
BDL
CLL
122
16
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15 Jan 2021
IIRC: Incremental Implicitly-Refined Classification
Computer Vision and Pattern Recognition (CVPR), 2020
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
178
32
0
23 Dec 2020
Finding Sparse Structures for Domain Specific Neural Machine Translation
Jianze Liang
Chengqi Zhao
Mingxuan Wang
Xipeng Qiu
Lei Li
CLL
183
4
0
19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
International Conference on Computational Linguistics (COLING), 2020
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELM
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284
249
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17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
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251
0
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16 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation
Asian Conference on Computer Vision (ACCV), 2020
Cheng-Hsun Lei
Yi-Hsin
Wen-Hsiao Peng
Wei-Chen Chiu
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165
6
0
15 Dec 2020
Learn-Prune-Share for Lifelong Learning
Industrial Conference on Data Mining (IDM), 2020
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T. Jian
Kaushik R. Chowdhury
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
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CLL
163
43
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13 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks
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Huihui Liu
Yiding Yang
Xinchao Wang
410
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10 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Lu Yu
Xialei Liu
Joost van de Weijer
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SSL
314
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Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020
Sandipan Banerjee
Ajjen Joshi
Jay Turcot
B. Reimer
Taniya Mishra
351
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BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Kamil Deja
Pawel Wawrzyñski
Daniel Marczak
Wojciech Masarczyk
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SyDa
156
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Songtao Lu
Parikshit Ram
L. Horesh
CLL
247
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A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
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414
237
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03 Nov 2020
Class-incremental learning: survey and performance evaluation on image classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
432
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28 Oct 2020
A Study on Efficiency in Continual Learning Inspired by Human Learning
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Yingzhen Li
A. Lamb
Cheng Zhang
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79
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What is Wrong with Continual Learning in Medical Image Segmentation?
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Nick Lemke
G. Sakas
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CLL
252
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21 Oct 2020
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