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ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning
  for Session-based Recommendation

ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

23 July 2020
Fei Mi
Xiao Lin
Boi Faltings
    CLL
ArXiv (abs)PDFHTML

Papers citing "ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation"

27 / 27 papers shown
Title
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
189
0
0
30 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
176
2
0
29 Apr 2025
Memory Augmented Neural Model for Incremental Session-based
  Recommendation
Memory Augmented Neural Model for Incremental Session-based Recommendation
Fei Mi
Boi Faltings
CLL
39
24
0
28 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
67
43
0
24 Apr 2020
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
128
428
0
16 Nov 2019
Balancing Multi-level Interactions for Session-based Recommendation
Balancing Multi-level Interactions for Session-based Recommendation
Yujia Zheng
Siyi Liu
Zailei Zhou
51
12
0
29 Oct 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,258
0
30 May 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDLHAI
181
2,177
0
14 Apr 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
91
400
0
27 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
112
77
0
07 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,114
0
11 Oct 2018
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAIBDL
167
2,442
0
20 Aug 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
87
1,159
0
25 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
95
309
0
22 Jun 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
87
1,642
0
27 Nov 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
262
2,337
0
05 Jul 2017
Recurrent Neural Networks with Top-k Gains for Session-based
  Recommendations
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi
Alexandros Karatzoglou
61
829
0
12 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
132,199
0
12 Jun 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
369
7,547
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
154
3,774
0
23 Nov 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
301
4,423
0
29 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
57
743
0
27 Jun 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
77
2,452
0
15 Jun 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
223
3,789
0
18 Nov 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
Personalized News Recommendation with Context Trees
Personalized News Recommendation with Context Trees
Florent Garcin
Christos Dimitrakakis
Boi Faltings
79
179
0
04 Mar 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
455
7,666
0
03 Jul 2012
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