ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.09282
  4. Cited By
Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning without Forgetting"

50 / 2,212 papers shown
Title
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
26
872
0
15 Apr 2019
Knowledge Flow: Improve Upon Your Teachers
Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu
Jian-wei Peng
A. Schwing
14
62
0
11 Apr 2019
Variational Information Distillation for Knowledge Transfer
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn
S. Hu
Andreas C. Damianou
Neil D. Lawrence
Zhenwen Dai
6
609
0
11 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim
Chanho Ahn
Philip Torr
Songhwai Oh
21
12
0
09 Apr 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image
  Retrieval
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu
Lingxi Xie
Huiyu Wang
Alan Yuille
VLM
21
108
0
05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
60
297
0
05 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
  Learning
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLL
VLM
13
54
0
03 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
43
201
0
29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the
  Edge
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
6
9
0
26 Mar 2019
Multi-Attribute Selectivity Estimation Using Deep Learning
Multi-Attribute Selectivity Estimation Using Deep Learning
Shohedul Hasan
Saravanan Thirumuruganathan
Jees Augustine
Nick Koudas
Gautam Das
15
25
0
24 Mar 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min-Bin Lin
Baptiste Goujaud
Yoshua Bengio
BDL
CLL
32
801
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
17
2
0
20 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
334
0
19 Mar 2019
Inferring Personalized Bayesian Embeddings for Learning from
  Heterogeneous Demonstration
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration
Rohan R. Paleja
Matthew C. Gombolay
19
7
0
14 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong
  Learning
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
11
54
0
06 Mar 2019
3D Hand Shape and Pose Estimation from a Single RGB Image
3D Hand Shape and Pose Estimation from a Single RGB Image
Liuhao Ge
Zhou Ren
Yuncheng Li
Zehao Xue
Yingying Wang
Jianfei Cai
Junsong Yuan
3DH
21
433
0
03 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
52
389
0
27 Feb 2019
Scalable and Order-robust Continual Learning with Additive Parameter
  Decomposition
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
21
175
0
25 Feb 2019
Overcoming Multi-Model Forgetting
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMe
KELM
CLL
35
37
0
21 Feb 2019
Differentially Private Continual Learning
Differentially Private Continual Learning
Sebastian Farquhar
Y. Gal
FedML
MU
13
12
0
18 Feb 2019
Manifestation of Image Contrast in Deep Networks
Manifestation of Image Contrast in Deep Networks
A. Akbarinia
K. Gegenfurtner
17
4
0
12 Feb 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity
  Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Jason M. Allred
Kaushik Roy
CLL
14
31
0
08 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
23
145
0
03 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OOD
CLL
28
20
0
03 Feb 2019
Policy Consolidation for Continual Reinforcement Learning
Policy Consolidation for Continual Reinforcement Learning
Christos Kaplanis
Murray Shanahan
Claudia Clopath
CLL
OffRL
11
50
0
01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
12
182
0
31 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for
  Convolutional Networks
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li
Haoyi Xiong
Hanchao Wang
Yuxuan Rao
Liping Liu
Zeyu Chen
Jun Huan
15
171
0
26 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network
  for Person Re-Identification
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro
Jongwon Choi
D. Jo
Byeongho Heo
Jongin Lim
J. Choi
19
16
0
18 Jan 2019
Exploring the Challenges towards Lifelong Fact Learning
Exploring the Challenges towards Lifelong Fact Learning
Mohamed Elhoseiny
F. Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
21
12
0
26 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLM
DiffM
13
156
0
21 Dec 2018
A Self-Supervised Bootstrap Method for Single-Image 3D Face
  Reconstruction
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction
Yifan Xing
Rahul Tewari
Paulo R. S. Mendonça
3DH
29
8
0
14 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
26
354
0
10 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
43
17
0
06 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
20
4
0
04 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
10
24
0
03 Dec 2018
On the Transferability of Representations in Neural Networks Between
  Datasets and Tasks
On the Transferability of Representations in Neural Networks Between Datasets and Tasks
Haytham M. Fayek
L. Cavedon
H. Wu
13
5
0
29 Nov 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
14
1,110
0
28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
24
55
0
27 Nov 2018
From Recognition to Cognition: Visual Commonsense Reasoning
From Recognition to Cognition: Visual Commonsense Reasoning
Rowan Zellers
Yonatan Bisk
Ali Farhadi
Yejin Choi
LRM
BDL
OCL
ReLM
47
866
0
27 Nov 2018
Low-resolution Face Recognition in the Wild via Selective Knowledge
  Distillation
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
Shiming Ge
Shengwei Zhao
Chenyu Li
Jia Li
CVBM
17
188
0
25 Nov 2018
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis
  Tasks
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks
Alon Shoshan
Roey Mechrez
Lihi Zelnik-Manor
OOD
12
33
0
21 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
36
445
0
21 Nov 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
13
472
0
20 Nov 2018
Transfer Learning Using Classification Layer Features of CNN
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin
Manzur Murshed
Guojun Lu
S. Teng
14
6
0
19 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
13
19
0
16 Nov 2018
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features
  for Large-scale Video Classification
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
Rongcheng Lin
Jing Xiao
Jianping Fan
VLM
12
103
0
12 Nov 2018
Extending Pretrained Segmentation Networks with Additional Anatomical
  Structures
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Firat Özdemir
Orçun Göksel
CLL
25
45
0
12 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External
  Categorical Evidence
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Athanasios Davvetas
I. Klampanos
V. Karkaletsis
27
5
0
09 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
26
56
0
06 Nov 2018
On the role of neurogenesis in overcoming catastrophic forgetting
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLL
OffRL
16
13
0
06 Nov 2018
Previous
123...4142434445
Next