Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1711.05769
Cited By
v1
v2 (latest)
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
15 November 2017
Arun Mallya
Svetlana Lazebnik
CLL
Re-assign community
ArXiv (abs)
PDF
HTML
Github (233★)
Papers citing
"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"
50 / 800 papers shown
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
British Machine Vision Conference (BMVC), 2021
H. Sahbi
Haoming Zhan
AI4CE
99
3
0
22 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLM
CLL
214
6
0
05 Nov 2021
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
Ajmal Shahbaz
Salman Khan
M. Hossain
Vincenzo Lomonaco
Kevin J. Cannons
Zhan Xu
Fabio Cuzzolin
CLL
MU
143
4
0
27 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
239
41
0
23 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
British Machine Vision Conference (BMVC), 2021
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
215
4
0
21 Oct 2021
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
153
4
0
20 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
207
80
0
19 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
269
30
0
14 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
305
9
0
11 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Neural Information Processing Systems (NeurIPS), 2021
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
138
99
0
09 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
380
58
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
IET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLM
CLL
521
99
0
23 Sep 2021
Neural network relief: a pruning algorithm based on neural activity
Machine-mediated learning (ML), 2021
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
307
14
0
22 Sep 2021
AirLoop: Lifelong Loop Closure Detection
Dasong Gao
Chen Wang
Sebastian Scherer
196
18
0
18 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Zhuang Li
Gholamreza Haffari
CLL
252
15
0
11 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
265
26
0
10 Sep 2021
On robustness of generative representations against catastrophic forgetting
Wojciech Masarczyk
Kamil Deja
Tomasz Trzciñski
149
5
0
04 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
195
21
0
03 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
152
20
0
01 Sep 2021
Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò
A. Petrini
D. Malchiodi
Marco Frasca
MQ
103
4
0
28 Aug 2021
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
Yujiang He
AI4TS
CLL
177
3
0
24 Aug 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Yong Deng
Ozan Sener
V. Koltun
CLL
230
92
0
20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
192
41
0
15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Pattern Recognition Letters (PR), 2021
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
191
47
0
14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
IEEE International Conference on Computer Vision (ICCV), 2021
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
179
52
0
12 Aug 2021
DIODE: Dilatable Incremental Object Detection
Pattern Recognition (Pattern Recogn.), 2021
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLL
ObjD
196
13
0
12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2021
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
162
1
0
11 Aug 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
IEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Yan Bai
J. Jiao
Shengsen Wu
Yihang Lou
Jun Liu
Xuetao Feng
Ling-yu Duan
236
8
0
06 Aug 2021
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
348
301
0
03 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
494
22
0
02 Aug 2021
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
IEEE Transactions on Image Processing (TIP), 2021
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
VLM
181
30
0
28 Jul 2021
In Defense of the Learning Without Forgetting for Task Incremental Learning
Guy Oren
Lior Wolf
CLL
165
22
0
26 Jul 2021
More Parameters? No Thanks!
Findings (Findings), 2021
Zeeshan Khan
Kartheek Akella
Vinay P. Namboodiri
C. V. Jawahar
105
1
0
20 Jul 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Binzong Geng
Fajie Yuan
Qiancheng Xu
Ying Shen
Ruifeng Xu
Min Yang
CLL
230
40
0
17 Jul 2021
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLL
BDL
VLM
218
42
0
12 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Traffic Monitoring and Analysis (TMA), 2021
Giampaolo Bovenzi
Lixuan Yang
A. Finamore
Giuseppe Aceto
D. Ciuonzo
A. Pescapé
Dario Rossi
143
27
0
09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
267
6
0
07 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim
Dong-Wan Choi
CLL
122
28
0
03 Jul 2021
Co
2
^2
2
L: Contrastive Continual Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
348
359
0
28 Jun 2021
Learning without Forgetting for 3D Point Cloud Objects
International Work-Conference on Artificial and Natural Neural Networks (IWANN), 2021
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
159
11
0
27 Jun 2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Binzong Geng
Min Yang
Fajie Yuan
Shupeng Wang
Xiang Ao
Ruifeng Xu
CLL
122
20
0
21 Jun 2021
Graceful Degradation and Related Fields
J. Dymond
206
5
0
21 Jun 2021
Invariant Information Bottleneck for Domain Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
655
144
0
11 Jun 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Pavan Kumar Anasosalu Vasu
Shreyas Saxena
Oncel Tuzel
136
7
0
11 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Neural Information Processing Systems (NeurIPS), 2021
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
291
42
0
09 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Zhilu Zhang
Vianne R. Gao
M. Sabuncu
UQCV
250
7
0
09 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
International Conference on Learning Representations (ICLR), 2021
Rahul Ramesh
Pratik Chaudhari
CLL
FedML
295
76
0
06 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
International Conference on Machine Learning (ICML), 2021
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
257
104
0
05 Jun 2021
A study on the plasticity of neural networks
Tudor Berariu
Wojciech M. Czarnecki
Soham De
J. Bornschein
Samuel L. Smith
Razvan Pascanu
Claudia Clopath
CLL
AI4CE
278
45
0
31 May 2021
Efficient and robust multi-task learning in the brain with modular latent primitives
Christian David Márton
Léo Gagnon
Guillaume Lajoie
Kanaka Rajan
118
9
0
28 May 2021
Previous
1
2
3
...
12
13
14
15
16
Next