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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning without Forgetting"

50 / 2,216 papers shown
Title
Overcome Anterograde Forgetting with Cycled Memory Networks
Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng
Dingqi. Ye
Bo Tang
Yinjie Lei
Yu Liu
Haifeng Li
KELM
CLL
39
1
0
04 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
100
26
0
04 Dec 2021
Incremental Learning in Semantic Segmentation from Image Labels
Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli
Dario Fontanel
A. Tavera
Marco Ciccone
Barbara Caputo
VLM
CLL
42
48
0
03 Dec 2021
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
29
4
0
03 Dec 2021
Hierarchical Prototype Networks for Continual Graph Representation
  Learning
Hierarchical Prototype Networks for Continual Graph Representation Learning
Xikun Zhang
Dongjin Song
Dacheng Tao
CLL
34
33
0
30 Nov 2021
DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer
Dengxin Dai
Luc Van Gool
AI4CE
43
454
0
29 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
38
77
0
26 Nov 2021
Coarse-To-Fine Incremental Few-Shot Learning
Coarse-To-Fine Incremental Few-Shot Learning
Xiang Xiang
Yuwen Tan
Qian Wan
Jing Ma
CLL
37
12
0
24 Nov 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
44
4
0
23 Nov 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
H. Sahbi
Haoming Zhan
AI4CE
33
1
0
22 Nov 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
299
0
22 Nov 2021
Accretionary Learning with Deep Neural Networks
Accretionary Learning with Deep Neural Networks
Xinyu Wei
B. Juang
Ouya Wang
Shenglong Zhou
Geoffrey Ye Li
24
3
0
21 Nov 2021
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights
  Modification
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
Yanni Li
Bing Liu
Kaicheng Yao
Xiaoli Kou
Pengfan Lv
Yueshen Xu
J. Cui
CLL
15
0
0
19 Nov 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual
  Learning
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Rishabh Tiwari
Krishnateja Killamsetty
Rishabh K. Iyer
Pradeep Shenoy
BDL
CLL
31
129
0
18 Nov 2021
Self-Supervised Class Incremental Learning
Self-Supervised Class Incremental Learning
Zixuan Ni
Siliang Tang
Yueting Zhuang
CLL
36
6
0
18 Nov 2021
Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
36
2
0
15 Nov 2021
Continual Learning via Local Module Composition
Continual Learning via Local Module Composition
O. Ostapenko
Pau Rodríguez López
Massimo Caccia
Laurent Charlin
KELM
CLL
48
66
0
15 Nov 2021
CoReS: Compatible Representations via Stationarity
CoReS: Compatible Representations via Stationarity
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
OOD
33
9
0
15 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
38
9
0
15 Nov 2021
Unsupervised Noise Adaptive Speech Enhancement by
  Discriminator-Constrained Optimal Transport
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin
Huan-Hsin Tseng
Xugang Lu
Yu Tsao
OT
22
32
0
11 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot
  Image Recognition
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang
Xialei Liu
Andrew D. Bagdanov
Luis Herranz
Shang Rui
Joost van de Weijer
CLL
VLM
41
9
0
09 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLM
CLL
22
6
0
05 Nov 2021
A Unified Approach to Coreset Learning
A Unified Approach to Coreset Learning
Alaa Maalouf
Gilad Eini
Ben Mussay
Dan Feldman
Margarita Osadchy
DD
22
17
0
04 Nov 2021
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal
  Exercise
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
Youwang Kim
Ji-Yeon Kim
Kyungdon Joo
Tae-Hyun Oh
3DH
26
5
0
03 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by
  Finding Flat Minima
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan Shi
Jiaxin Chen
Wenlong Zhang
Li-Ming Zhan
Xiao-Ming Wu
CLL
36
152
0
30 Oct 2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for
  Incremental Object Detection
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
Na Dong
Yongqiang Zhang
M. Ding
G. Lee
CLL
30
17
0
28 Oct 2021
Towards Realistic Single-Task Continuous Learning Research for NER
Towards Realistic Single-Task Continuous Learning Research for NER
Justin Payan
Yuval Merhav
He Xie
Satyapriya Krishna
Anil Ramakrishna
Mukund Sridhar
Rahul Gupta
CLL
30
6
0
27 Oct 2021
Provable Lifelong Learning of Representations
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
28
13
0
27 Oct 2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP
Incremental Learning for Animal Pose Estimation using RBF k-DPP
Gaurav Kumar Nayak
Het Shah
Anirban Chakraborty
CLL
27
3
0
26 Oct 2021
Response-based Distillation for Incremental Object Detection
Response-based Distillation for Incremental Object Detection
Tao Feng
Mang Wang
ObjD
CLL
32
1
0
26 Oct 2021
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
33
32
0
25 Oct 2021
Latent-Insensitive autoencoders for Anomaly Detection
Latent-Insensitive autoencoders for Anomaly Detection
Muhammad S. Battikh
Artem Lenskiy
UQCV
20
6
0
25 Oct 2021
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary
  Tasks
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Seungbum Hong
Jihun Yoon
Junmo Kim
Min-Kook Choi
SSL
21
1
0
25 Oct 2021
Mixture-of-Variational-Experts for Continual Learning
Mixture-of-Variational-Experts for Continual Learning
Y. Yin
Yu Wang
CLL
FedML
23
6
0
25 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
30
32
0
23 Oct 2021
Wide Neural Networks Forget Less Catastrophically
Wide Neural Networks Forget Less Catastrophically
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Huiyi Hu
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
CLL
33
60
0
21 Oct 2021
Center Loss Regularization for Continual Learning
Center Loss Regularization for Continual Learning
Kaustubh Olpadkar
Ekta Gavas
CLL
40
1
0
21 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
27
4
0
21 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Memory Efficient Adaptive Attention For Multiple Domain Learning
Memory Efficient Adaptive Attention For Multiple Domain Learning
H. P. Aswani
Abhiraj S Kanse
Shubhang Bhatnagar
Amit Sethi
21
1
0
21 Oct 2021
Single-Modal Entropy based Active Learning for Visual Question Answering
Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim
Jae-Won Cho
Jinsoo Choi
Yunjae Jung
In So Kweon
30
12
0
21 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
37
4
0
20 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting
Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell
Neil D. Lawrence
40
4
0
20 Oct 2021
Dendritic Self-Organizing Maps for Continual Learning
Dendritic Self-Organizing Maps for Continual Learning
Kosmas Pinitas
Spyridon Chavlis
Panayiota Poirazi
CLL
23
8
0
18 Oct 2021
Online Continual Learning Via Candidates Voting
Online Continual Learning Via Candidates Voting
Jiangpeng He
F. Zhu
CLL
44
18
0
17 Oct 2021
Reminding the Incremental Language Model via Data-Free Self-Distillation
Reminding the Incremental Language Model via Data-Free Self-Distillation
Han Wang
Ruiliu Fu
Chengzhang Li
Xuejun Zhang
Jun Zhou
Yonghong Yan
CLL
30
3
0
17 Oct 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging
  Corpora
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin
Dejiao Zhang
Henghui Zhu
Wei Xiao
Shang-Wen Li
Xiaokai Wei
Andrew O. Arnold
Xiang Ren
KELM
CLL
33
113
0
16 Oct 2021
Dataset Knowledge Transfer for Class-Incremental Learning without Memory
Dataset Knowledge Transfer for Class-Incremental Learning without Memory
H. Slim
Eden Belouadah
Adrian Daniel Popescu
Darian M. Onchis
CLL
21
10
0
16 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMe
CLL
39
45
0
15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
47
39
0
14 Oct 2021
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