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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
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Papers citing "Learning without Forgetting"

50 / 2,212 papers shown
Title
Side-Tuning: A Baseline for Network Adaptation via Additive Side
  Networks
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas J. Guibas
Jitendra Malik
36
28
0
31 Dec 2019
On the Role of Weight Sharing During Deep Option Learning
On the Role of Weight Sharing During Deep Option Learning
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
OffRL
6
18
0
31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a
  Trained Classifier
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli
Gaurav Kumar Nayak
Anirban Chakraborty
R. Venkatesh Babu
14
36
0
27 Dec 2019
Learning Improved Representations by Transferring Incomplete Evidence
  Across Heterogeneous Tasks
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks
Athanasios Davvetas
I. Klampanos
17
0
0
22 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao R. Lin
Haifeng Li
AAML
CLL
33
36
0
19 Dec 2019
Continuous Meta-Learning without Tasks
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
30
79
0
18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
28
553
0
18 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
46
1,799
0
13 Dec 2019
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
13
50
0
06 Dec 2019
QUEST: Quantized embedding space for transferring knowledge
QUEST: Quantized embedding space for transferring knowledge
Himalaya Jain
Spyros Gidaris
N. Komodakis
P. Pérez
Matthieu Cord
18
14
0
03 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization
Overcoming Catastrophic Forgetting by Generative Regularization
Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
Bo Dai
CLL
35
16
0
03 Dec 2019
Latent Replay for Real-Time Continual Learning
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
CLL
28
163
0
02 Dec 2019
An Attention-Based Speaker Naming Method for Online Adaptation in
  Non-Fixed Scenarios
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
Jungwoo Pyo
Joohyung Lee
Youngjune Park
Tien-Cuong Bui
S. Cha
19
1
0
02 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
40
17
0
01 Dec 2019
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled
  Images
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
Zhaohui Yang
Miaojing Shi
Chao Xu
V. Ferrari
Yannis Avrithis
WSOD
11
10
0
01 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang
Jonghwan Mun
Bohyung Han
FedML
38
44
0
29 Nov 2019
Continuous Adaptation for Interactive Object Segmentation by Learning
  from Corrections
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
Theodora Kontogianni
Michael Gygli
J. Uijlings
V. Ferrari
CLL
VLM
24
58
0
28 Nov 2019
Lifelong Spectral Clustering
Lifelong Spectral Clustering
Gan Sun
Yang Cong
Qianqian Wang
Jun Li
Y. Fu
CLL
11
20
0
27 Nov 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
30
6
0
26 Nov 2019
Neural Random Forest Imitation
Neural Random Forest Imitation
Christoph Reinders
Bodo Rosenhahn
16
1
0
25 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
24
73
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
30
5
0
19 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
30
21
0
18 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
23
416
0
16 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
38
75
0
15 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Yadan Luo
Zi Huang
Zheng-Wei Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLL
BDL
17
23
0
12 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
98
0
08 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDL
CLL
SSL
DRL
6
255
0
31 Oct 2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large
  Scale Video Temporal Concept Localization
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
Rongcheng Lin
Jing Xiao
Jianping Fan
8
4
0
27 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
15
22
0
24 Oct 2019
Human Action Recognition in Drone Videos using a Few Aerial Training
  Examples
Human Action Recognition in Drone Videos using a Few Aerial Training Examples
Waqas Sultani
M. Shah
27
46
0
22 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
39
351
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
35
301
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLL
KELM
OOD
27
4
0
10 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
27
33
0
07 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Shahram Ghorbani
S. Khorram
John H. L. Hansen
29
18
0
01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
27
92
0
29 Sep 2019
On Generalizing Detection Models for Unconstrained Environments
On Generalizing Detection Models for Unconstrained Environments
Prajjwal Bhargava
OOD
16
6
0
28 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
7
12
0
22 Sep 2019
ContCap: A scalable framework for continual image captioning
ContCap: A scalable framework for continual image captioning
Giang Nguyen
Tae Joon Jun
T. Tran
Tolcha Yalew
Daeyoung Kim
VLM
CLL
19
10
0
19 Sep 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLL
KELM
14
246
0
18 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
36
41
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLL
KELM
26
205
0
07 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
8
209
0
30 Aug 2019
BooVAE: Boosting Approach for Continual Learning of VAE
BooVAE: Boosting Approach for Continual Learning of VAE
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
16
24
0
30 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
11
3
0
27 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
23
25
0
23 Aug 2019
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong
A. Maki
24
13
0
16 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
22
530
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
24
39
0
08 Aug 2019
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