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Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

30 January 2018
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip H. S. Torr
    CLL
ArXivPDFHTML

Papers citing "Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence"

42 / 192 papers shown
Title
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
11
46
0
05 Jun 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
30
27
0
24 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
21
48
0
19 Apr 2021
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
22
17
0
17 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
31
129
0
01 Apr 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
19
47
0
29 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay K. Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
30
76
0
25 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
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
23
180
0
22 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
26
129
0
12 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
16
20
0
06 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
68
0
22 Feb 2021
Generative Replay-based Continual Zero-Shot Learning
Generative Replay-based Continual Zero-Shot Learning
C. Gautam
S. Parameswaran
Ashish Mishra
Suresh Sundaram
CLL
VLM
26
8
0
22 Jan 2021
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip H. S. Torr
CLL
33
113
0
22 Oct 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
32
28
0
22 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
13
215
0
10 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
29
137
0
09 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
19
101
0
08 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
24
146
0
03 Sep 2020
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
11
40
0
31 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
27
63
0
04 Aug 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
22
40
0
13 Jul 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
22
104
0
09 Jun 2020
Boosting Deep Open World Recognition by Clustering
Boosting Deep Open World Recognition by Clustering
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
12
21
0
20 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
F. Khan
M. Shah
CLL
OOD
13
153
0
25 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip H. S. Torr
David Lopez-Paz
KELM
CLL
14
233
0
19 Feb 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
18
277
0
03 Feb 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
21
98
0
08 Nov 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
29
294
0
06 Oct 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
16
39
0
08 Aug 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
33
178
0
23 Jul 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale
  Bayesian Deep Learning
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Sebastian Farquhar
Michael A. Osborne
Y. Gal
UQCV
BDL
21
57
0
01 Jul 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard E. Turner
21
240
0
18 Jun 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLL
KELM
22
280
0
03 Jun 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
58
297
0
05 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
29
201
0
29 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 H. S. Torr
MarcÁurelio Ranzato
CLL
17
388
0
27 Feb 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
49
1,421
0
02 Dec 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
13
58
0
11 Jul 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
9
5
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
26
114
0
14 Jun 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
22
304
0
24 May 2018
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