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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 / 2,218 papers shown
Title
Open-world Semantic Segmentation for LIDAR Point Clouds
Open-world Semantic Segmentation for LIDAR Point Clouds
Jun Cen
Peng Yun
Shiwei Zhang
Junhao Cai
Di Luan
M. Y. Wang
Meilin Liu
Mingqian Tang
3DPC
49
29
0
04 Jul 2022
Factorizing Knowledge in Neural Networks
Factorizing Knowledge in Neural Networks
Xingyi Yang
Jingwen Ye
Xinchao Wang
MoMe
52
121
0
04 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Jinze Li
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Shaoyun Xu
Tao Bai
VLM
CLL
50
2
0
03 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition
Modular Lifelong Reinforcement Learning via Neural Composition
Jorge Armando Mendez Mendez
H. V. Seijen
Eric Eaton
OffRL
KELM
CLL
86
38
0
01 Jul 2022
Learning Citywide Patterns of Life from Trajectory Monitoring
Learning Citywide Patterns of Life from Trajectory Monitoring
M. Tenzer
Z. Rasheed
Khurram Hassan-Shafique
AI4TS
19
1
0
30 Jun 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen
Yu Wang
Q. Hu
CLL
57
16
0
30 Jun 2022
Continual Learning for Human State Monitoring
Continual Learning for Human State Monitoring
Federico Matteoni
Andrea Cossu
Claudio Gallicchio
Vincenzo Lomonaco
D. Bacciu
42
5
0
29 Jun 2022
Teach me how to Interpolate a Myriad of Embeddings
Teach me how to Interpolate a Myriad of Embeddings
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
53
2
0
29 Jun 2022
Hebbian Continual Representation Learning
Hebbian Continual Representation Learning
P. Morawiecki
Andrii Krutsylo
Maciej Wołczyk
Marek Śmieja
CLL
30
2
0
28 Jun 2022
NERDA-Con: Extending NER models for Continual Learning -- Integrating
  Distinct Tasks and Updating Distribution Shifts
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution Shifts
Supriti Vijay
Aman Priyanshu
CLL
57
5
0
28 Jun 2022
Class Impression for Data-free Incremental Learning
Class Impression for Data-free Incremental Learning
Sana Ayromlou
Purang Abolmaesumi
Teresa S. M. Tsang
Xiaoxiao Li
23
4
0
26 Jun 2022
Sample Condensation in Online Continual Learning
Sample Condensation in Online Continual Learning
Mattia Sangermano
Antonio Carta
Andrea Cossu
D. Bacciu
DD
45
43
0
23 Jun 2022
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual
  Learning in Sparse Networks
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Mustafa Burak Gurbuz
C. Dovrolis
CLL
34
45
0
18 Jun 2022
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning
Jinlin Xiang
Eli Shlizerman
CLL
30
8
0
17 Jun 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
33
1
0
16 Jun 2022
Continual Learning with Guarantees via Weight Interval Constraints
Continual Learning with Guarantees via Weight Interval Constraints
Maciej Wołczyk
Karol J. Piczak
Bartosz Wójcik
Lukasz Pustelnik
P. Morawiecki
Jacek Tabor
Tomasz Trzciñski
Przemysław Spurek
31
9
0
16 Jun 2022
Lifelong Wandering: A realistic few-shot online continual learning
  setting
Lifelong Wandering: A realistic few-shot online continual learning setting
Mayank Lunayach
James Smith
Z. Kira
CLL
9
3
0
16 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental
  Learning
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning
Tianlong Chen
Sijia Liu
Shiyu Chang
Lisa Amini
Zhangyang Wang
CLL
43
4
0
15 Jun 2022
Condensing Graphs via One-Step Gradient Matching
Condensing Graphs via One-Step Gradient Matching
Wei Jin
Xianfeng Tang
Haoming Jiang
Zheng Li
Danqing Zhang
Jiliang Tang
Bin Ying
DD
45
105
0
15 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning
  Tasks
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
69
130
0
14 Jun 2022
Lightweight Conditional Model Extrapolation for Streaming Data under
  Class-Prior Shift
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
Paulina Tomaszewska
Christoph H. Lampert
48
0
0
10 Jun 2022
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
47
11
0
08 Jun 2022
Effects of Auxiliary Knowledge on Continual Learning
Effects of Auxiliary Knowledge on Continual Learning
Giovanni Bellitto
M. Pennisi
S. Palazzo
Lorenzo Bonicelli
Matteo Boschini
Simone Calderara
C. Spampinato
CLL
25
6
0
03 Jun 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site
  Prostate MRI Segmentation
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You
Jinlin Xiang
Kun Su
Xiaoran Zhang
Siyuan Dong
J. Onofrey
Lawrence H. Staib
James S. Duncan
CLL
49
51
0
03 Jun 2022
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation
  Tasks in the Overparameterized Regime
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
Daniel Goldfarb
Paul Hand
CLL
33
10
0
01 Jun 2022
Transfer without Forgetting
Transfer without Forgetting
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
CLL
42
46
0
01 Jun 2022
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
73
51
0
30 May 2022
Few-shot Class-incremental Learning for 3D Point Cloud Objects
Few-shot Class-incremental Learning for 3D Point Cloud Objects
T. Chowdhury
A. Cheraghian
Sameera Ramasinghe
Sahar Ahmadi
Morteza Saberi
Shafin Rahman
3DPC
42
17
0
30 May 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim
Jinuk Kim
Seong Joon Oh
Sangdoo Yun
Hwanjun Song
Joonhyun Jeong
Jung-Woo Ha
Hyun Oh Song
DD
421
164
0
30 May 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
54
37
0
30 May 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
192
277
0
30 May 2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype
  Representation
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
Bin Lu
Xiaoying Gan
Lina Yang
Weinan Zhang
Luoyi Fu
Xinbing Wang
CLL
32
27
0
27 May 2022
Continual evaluation for lifelong learning: Identifying the stability
  gap
Continual evaluation for lifelong learning: Identifying the stability gap
Matthias De Lange
Gido M. van de Ven
Tinne Tuytelaars
CLL
127
41
0
26 May 2022
Continual Learning for Visual Search with Backward Consistent Feature
  Embedding
Continual Learning for Visual Search with Backward Consistent Feature Embedding
Timmy S. T. Wan
Jun-Cheng Chen
Tzer-Yi Wu
Chu-Song Chen
CLL
VLM
43
18
0
26 May 2022
Feature Forgetting in Continual Representation Learning
Feature Forgetting in Continual Representation Learning
Xiao Zhang
Dejing Dou
Ji Wu
CLL
21
5
0
26 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
36
125
0
26 May 2022
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale
  Multitask Learning Systems
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
Andrea Gesmundo
J. Dean
52
23
0
25 May 2022
Thalamus: a brain-inspired algorithm for biologically-plausible
  continual learning and disentangled representations
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
Ali Hummos
CLL
19
11
0
24 May 2022
Rethinking Task-Incremental Learning Baselines
Rethinking Task-Incremental Learning Baselines
Md. Rejwanul Hossain
P. Saha
T. Chowdhury
Shafin Rahman
Fuad Rahman
Nabeel Mohammed
CLL
40
5
0
23 May 2022
Cross-lingual Lifelong Learning
Cross-lingual Lifelong Learning
Meryem M'hamdi
Xiang Ren
Jonathan May
CLL
50
8
0
23 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental
  Learning
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning
Fanfan Ye
Liang Ma
Qiaoyong Zhong
Di Xie
Shiliang Pu
BDL
CLL
26
2
0
23 May 2022
Knowledge Distillation via the Target-aware Transformer
Knowledge Distillation via the Target-aware Transformer
Sihao Lin
Hongwei Xie
Bing Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
G. Wang
ViT
24
104
0
22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
52
4
0
19 May 2022
How catastrophic can catastrophic forgetting be in linear regression?
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
35
48
0
19 May 2022
Bypassing Logits Bias in Online Class-Incremental Learning with a
  Generative Framework
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
Gehui Shen
Shibo Jie
Ziheng Li
Zhi-Hong Deng
CLL
21
0
0
19 May 2022
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node
  Activation
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
Sebastian Lee
Stefano Sarao Mannelli
Claudia Clopath
Sebastian Goldt
Andrew M. Saxe
CLL
58
12
0
18 May 2022
Continual learning on 3D point clouds with random compressed rehearsal
Continual learning on 3D point clouds with random compressed rehearsal
M. Zamorski
Michal Stypulkowski
Konrad Karanowski
Tomasz Trzciñski
Maciej Ziȩba
3DPC
32
9
0
16 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLL
SSL
81
19
0
15 May 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
37
7
0
11 May 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
33
48
0
11 May 2022
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