+
|
Supervised Contrastive Learning
|
2020
|
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
|
3
|
+
|
Three scenarios for continual learning
|
2019
|
Gido M. van de Ven
Andreas S. Tolias
|
2
|
+
|
Experience Replay for Continual Learning
|
2019
|
David Rolnick
Arun Ahuja
Jonathan Schwarz
Timothy Lillicrap
Gregory Wayne
|
2
|
+
PDF
Chat
|
Additive Margin Softmax for Face Verification
|
2018
|
Wang Feng
Jian Cheng
Weiyang Liu
Haijun Liu
|
2
|
+
|
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
|
2020
|
Eden Belouadah
Adrian Popescu
Ioannis Kanellos
|
2
|
+
PDF
Chat
|
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
|
2019
|
Jiankang Deng
Jia Guo
Niannan Xue
Stefanos Zafeiriou
|
2
|
+
PDF
Chat
|
Generative Models from the perspective of Continual Learning
|
2019
|
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia-Ortiz
Andrei Stoian
David Filliat
|
2
|
+
PDF
Chat
|
A continual learning survey: Defying forgetting in classification tasks
|
2021
|
Matthias Delange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
AleĆĄ Leonardis
Greg Slabaugh
Tinne Tuytelaars
|
2
|
+
PDF
Chat
|
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
|
2021
|
Matthias De Lange
Tinne Tuytelaars
|
2
|
+
PDF
Chat
|
Continual Deep Learning by Functional Regularisation of Memorable Past
|
2020
|
Pingbo Pan
Siddharth Swaroop
Alexander Immer
Runa Eschenhagen
Richard E. Turner
Mohammad Emtiyaz Khan
|
2
|
+
PDF
Chat
|
Contrastive Multiview Coding
|
2020
|
Yonglong Tian
Dilip Krishnan
Phillip Isola
|
2
|
+
PDF
Chat
|
A comprehensive study of class incremental learning algorithms for visual tasks
|
2020
|
Eden Belouadah
Adrian Popescu
Ioannis Kanellos
|
2
|
+
|
Continuum: Simple Management of Complex Continual Learning Scenarios
|
2021
|
Arthur Douillard
Timothée Lesort
|
2
|
+
|
Continual lifelong learning with neural networks: A review
|
2019
|
German I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
Stefan Wermter
|
2
|
+
PDF
Chat
|
Momentum Contrast for Unsupervised Visual Representation Learning
|
2020
|
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
|
2
|
+
|
Online Continual Learning with Maximal Interfered Retrieval
|
2019
|
Rahaf Aljundi
Eugene Belilovsky
Tinne Tuytelaars
Laurent Charlin
M. Caccia
Min Lin
Lucas Page-Caccia
|
2
|
+
PDF
Chat
|
Task-Free Continual Learning
|
2019
|
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
|
2
|
+
PDF
Chat
|
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
|
2020
|
Brecht Desplanques
Jenthe Thienpondt
Kris Demuynck
|
2
|
+
PDF
Chat
|
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
|
2020
|
Tyler L. Hayes
Christopher Kanan
|
2
|
+
|
A Unifying Bayesian View of Continual Learning
|
2019
|
Sebastian Farquhar
Yarin Gal
|
2
|
+
|
A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning
|
2023
|
Martin Mundt
Yongwon Hong
Iuliia Pliushch
Visvanathan Ramesh
|
2
|
+
|
The Effectiveness of Memory Replay in Large Scale Continual Learning
|
2020
|
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
A. Mott
Ang Li
|
2
|
+
|
Energy-Based Models for Continual Learning
|
2020
|
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
|
2
|
+
PDF
Chat
|
REMIND Your Neural Network to Prevent Catastrophic Forgetting
|
2020
|
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
|
2
|
+
|
On Tiny Episodic Memories in Continual Learning
|
2019
|
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
Puneet K. Dokania
Philip H. S. Torr
MarcâAurelio Ranzato
|
2
|
+
PDF
Chat
|
Identity Mappings in Deep Residual Networks
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
2
|
+
|
GAN Memory with No Forgetting
|
2020
|
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
|
2
|
+
PDF
Chat
|
Real Additive Margin Softmax for Speaker Verification
|
2022
|
Lantian Li
Ruiqian Nai
Dong Wang
|
2
|
+
PDF
Chat
|
Large Scale Incremental Learning
|
2019
|
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Yun Fu
|
2
|
+
|
Towards Robust Evaluations of Continual Learning
|
2018
|
Sebastian Farquhar
Yarin Gal
|
2
|
+
PDF
Chat
|
Generalized End-to-End Loss for Speaker Verification
|
2018
|
Li Wan
Quan Wang
Alan Papir
Ignacio LĂłpez Moreno
|
2
|
+
|
Overcoming catastrophic forgetting in neural networks
|
2017
|
James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka GrabskaâBarwiĆska
|
2
|
+
PDF
Chat
|
Continuous learning in single-incremental-task scenarios
|
2019
|
Davide Maltoni
Vincenzo Lomonaco
|
2
|
+
|
Generative replay with feedback connections as a general strategy for continual learning
|
2018
|
Gido M. van de Ven
Andreas S. Tolias
|
2
|
+
|
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
|
2018
|
Yen-Chang Hsu
YenâCheng Liu
Zsolt Kira
|
2
|
+
|
Importance Weighted Autoencoders
|
2015
|
Yuri Burda
Roger Grosse
Ruslan Salakhutdinov
|
2
|
+
|
Task Agnostic Continual Learning Using Online Variational Bayes
|
2018
|
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
|
2
|
+
|
ScaIL: Classifier Weights Scaling for Class Incremental Learning
|
2020
|
Eden Belouadah
Adrian Popescu
|
2
|
+
PDF
Chat
|
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
|
2020
|
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
|
2
|
+
|
Continual Learning with Deep Generative Replay
|
2017
|
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
|
2
|
+
|
Variational continual learning
|
2017
|
Cuong V. Nguyen
Yingzhen Li
Thang D. Bui
Richard E. Turner
|
2
|
+
|
Overcoming catastrophic forgetting with hard attention to the task
|
2018
|
Joan SerrĂ
DĂdac SurĂs
Marius Miron
Alexandros Karatzoglou
|
2
|
+
PDF
Chat
|
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
|
2019
|
Daniel Park
William Chan
Yu Zhang
ChungâCheng Chiu
Barret Zoph
Ekin D. Cubuk
Quoc V. Le
|
2
|
+
|
A note on the evaluation of generative models
|
2015
|
Lucas Theis
AĂ€ron van den Oord
Matthias Bethge
|
2
|
+
|
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
|
2018
|
Nicolas Y. Masse
Gregory D. Grant
David J. Freedman
|
2
|
+
PDF
Chat
|
iCaRL: Incremental Classifier and Representation Learning
|
2017
|
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
Georg Sperl
Christoph H. Lampert
|
2
|
+
PDF
Chat
|
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification
|
2019
|
Gautam Bhattacharya
JoĂŁo Monteiro
Jahangir Alam
Patrick Kenny
|
1
|
+
|
Modeling Documents with Deep Boltzmann Machines
|
2013
|
Nitish Srivastava
Ruslan Salakhutdinov
Geoffrey E. Hinton
|
1
|
+
|
Multi-Task Learning as Multi-Objective Optimization
|
2018
|
Ozan Ćener
Vladlen Koltun
|
1
|
+
|
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
|
2018
|
Zhilu Zhang
Mert R. Sabuncu
|
1
|