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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 / 2,229 papers shown
Title
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong
  Learning in Task-Oriented Dialogue
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Ying Zhao
Yinhe Zheng
Zhiliang Tian
Chang Gao
Yu Bowen
Haiyang Yu
Yongbin Li
Jianguo Sun
N. Zhang
CLL
OffRL
41
12
0
14 Oct 2022
Attribution-aware Weight Transfer: A Warm-Start Initialization for
  Class-Incremental Semantic Segmentation
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami
René Schuster
Joost van de Weijer
D. Stricker
CLL
50
18
0
13 Oct 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
50
6
0
13 Oct 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental
  Semantic Segmentation
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh
Donghyeon Baek
Bumsub Ham
CLL
27
25
0
13 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
53
28
0
12 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Angelo Porrello
C. Spampinato
Simone Calderara
CLL
40
45
0
12 Oct 2022
Improving information retention in large scale online continual learning
Improving information retention in large scale online continual learning
Z. Cai
V. Koltun
Ozan Sener
CLL
22
1
0
12 Oct 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
48
4
0
11 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of
  Distribution Data
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OOD
AAML
41
18
0
11 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
56
12
0
11 Oct 2022
Meta-Learning with Self-Improving Momentum Target
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack
Jongjin Park
Hankook Lee
Jaeho Lee
Jinwoo Shin
LRM
75
12
0
11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
Feng Yu
ObjD
48
1
0
10 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-Xiong Wang
Deva Ramanan
Shu Kong
CLL
46
9
0
10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
Ruotian Ma
Xuanting Chen
Lin Zhang
Xin Zhou
Junzhe Wang
Tao Gui
Qi Zhang
Xiang Gao
Yunwen Chen
60
9
0
10 Oct 2022
A Memory Transformer Network for Incremental Learning
A Memory Transformer Network for Incremental Learning
Ahmet Iscen
Thomas Bird
Mathilde Caron
Alireza Fathi
Cordelia Schmid
CLL
121
14
0
10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in
  Continual Learning
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
Paul Janson
Wenxuan Zhang
Rahaf Aljundi
Mohamed Elhoseiny
VLM
SSL
CLL
32
52
0
10 Oct 2022
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention
  Network
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network
L. Gan
Connor T. Lee
Soon-Jo Chung
42
16
0
09 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
51
29
0
09 Oct 2022
Few-Shot Continual Active Learning by a Robot
Few-Shot Continual Active Learning by a Robot
Ali Ayub
C. Fendley
CLL
45
29
0
09 Oct 2022
TAME: Task Agnostic Continual Learning using Multiple Experts
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu
Maryam Majzoubi
Arihant Jain
A. Choromańska
OOD
28
3
0
08 Oct 2022
Damage Control During Domain Adaptation for Transducer Based Automatic
  Speech Recognition
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition
Somshubra Majumdar
Shantanu Acharya
Vitaly Lavrukhin
Boris Ginsburg
32
3
0
06 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDL
VLM
CLL
120
47
0
06 Oct 2022
Multi-stream Fusion for Class Incremental Learning in Pill Image
  Classification
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification
Trong T. Nguyen
Hieu H. Pham
Phi Le Nguyen
T. Nguyen
Minh N. Do
CLL
25
4
0
05 Oct 2022
On Neural Consolidation for Transfer in Reinforcement Learning
On Neural Consolidation for Transfer in Reinforcement Learning
Valentin Guillet
Dennis G. Wilson
Carlos Aguilar-Melchor
Emmanuel Rachelson
CLL
35
0
0
05 Oct 2022
ImpressLearn: Continual Learning via Combined Task Impressions
ImpressLearn: Continual Learning via Combined Task Impressions
Dhrupad Bhardwaj
Julia Kempe
Artem Vysogorets
Angel Teng
Evaristus C. Ezekwem
VLM
CLL
14
0
0
05 Oct 2022
Code-Switching without Switching: Language Agnostic End-to-End Speech
  Translation
Code-Switching without Switching: Language Agnostic End-to-End Speech Translation
Christian Huber
Enes Yavuz Ugan
A. Waibel
22
12
0
04 Oct 2022
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
76
36
0
01 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental
  Learning
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Bin Liu
Boyu Yang
Lingxi Xie
Ren Wang
Qi Tian
QiXiang Ye
CLL
35
17
0
01 Oct 2022
HyperHawkes: Hypernetwork based Neural Temporal Point Process
HyperHawkes: Hypernetwork based Neural Temporal Point Process
Manisha Dubey
P. K. Srijith
M. Desarkar
AI4TS
130
1
0
01 Oct 2022
Task Formulation Matters When Learning Continually: A Case Study in
  Visual Question Answering
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Mavina Nikandrou
Lu Yu
Alessandro Suglia
Ioannis Konstas
Verena Rieser
OOD
32
5
0
30 Sep 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLL
MoMe
54
2
0
29 Sep 2022
RECALL: Rehearsal-free Continual Learning for Object Classification
RECALL: Rehearsal-free Continual Learning for Object Classification
Markus Wendelin Knauer
Maximilian Denninger
Rudolph Triebel
VLM
43
1
0
29 Sep 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension
  of Multitask ML Systems
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems
Andrea Gesmundo
34
2
0
29 Sep 2022
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks
Andrés Vasco-Carofilis
Laura Fernández-Robles
Enrique Alegre
Eduardo FIDALGO
52
2
0
28 Sep 2022
A simple but strong baseline for online continual learning: Repeated
  Augmented Rehearsal
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
Yaqian Zhang
Bernhard Pfahringer
E. Frank
Albert Bifet
N. Lim
Yunzhe Jia
CLL
114
43
0
28 Sep 2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
40
1
0
27 Sep 2022
PROD: Progressive Distillation for Dense Retrieval
PROD: Progressive Distillation for Dense Retrieval
Zhenghao Lin
Yeyun Gong
Xiao Liu
Hang Zhang
Chen Lin
...
Jian Jiao
Jing Lu
Daxin Jiang
Rangan Majumder
Nan Duan
56
27
0
27 Sep 2022
DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant
  Descriptors in Local Feature Matching
DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant Descriptors in Local Feature Matching
Ranran Huang
Jiancheng Cai
Chao Li
Zhuoyuan Wu
Xinmin Liu
Z. Chai
35
0
0
22 Sep 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data
  Selection
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Tobias Kalb
Björn Mauthe
Jürgen Beyerer
CLL
40
12
0
20 Sep 2022
SparCL: Sparse Continual Learning on the Edge
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang
Zheng Zhan
Yifan Gong
Geng Yuan
Wei Niu
T. Jian
Bin Ren
Stratis Ioannidis
Yanzhi Wang
Jennifer Dy
CLL
72
60
0
20 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
50
9
0
18 Sep 2022
Continual Learning for Class- and Domain-Incremental Semantic
  Segmentation
Continual Learning for Class- and Domain-Incremental Semantic Segmentation
Tobias Kalb
M. Roschani
M. Ruf
Jürgen Beyerer
CLL
VLM
32
23
0
16 Sep 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic
  Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb
Jürgen Beyerer
CLL
43
8
0
16 Sep 2022
Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
Rui Li
Dong Liu
151
15
0
16 Sep 2022
Continual Learning with Dependency Preserving Hypernetworks
Continual Learning with Dependency Preserving Hypernetworks
Dupati Srikar Chandra
Sakshi Varshney
P. K. Srijith
Sunil R. Gupta
CLL
46
7
0
16 Sep 2022
A Continual Development Methodology for Large-scale Multitask Dynamic ML
  Systems
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems
Andrea Gesmundo
26
18
0
15 Sep 2022
Forgetting to Remember: A Scalable Incremental Learning Framework for
  Cross-Task Blind Image Quality Assessment
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
Rui Ma
Qingbo Wu
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
CLL
46
15
0
15 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
60
41
0
15 Sep 2022
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Eden Belouadah
David Picard
Bertrand Delezoide
CLL
57
1
0
14 Sep 2022
Online Continual Learning via the Meta-learning Update with Multi-scale
  Knowledge Distillation and Data Augmentation
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation
Ya-nan Han
Jian-wei Liu
KELM
CLL
61
10
0
12 Sep 2022
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