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Expert Gate: Lifelong Learning with a Network of Experts

Expert Gate: Lifelong Learning with a Network of Experts

18 November 2016
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
    CLL
ArXivPDFHTML

Papers citing "Expert Gate: Lifelong Learning with a Network of Experts"

50 / 121 papers shown
Title
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Zeki Doruk Erden
Donia Gasmi
Boi Faltings
CLL
31
0
0
13 May 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
Xing Hu
Zhixuan Chen
Dawei Yang
Zukang Xu
Chen Xu
Zhihang Yuan
Sifan Zhou
Jiangyong Yu
MoE
MQ
44
0
0
02 May 2025
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
33
0
0
30 Apr 2025
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
Kristen Goebel
Paola Pesántez-Cabrera
M. Keller
Alan Fern
26
0
0
17 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
38
0
0
09 Apr 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
153
2
0
10 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
Jingyang Zhang
Tianrui Li
Xin Yang
CLL
49
0
0
27 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
84
1
0
17 Feb 2025
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu
Yanyong Huang
Zhengzhang Chen
Zijun Yao
Yanjie Fu
Kunpeng Liu
Xiao Luo
Dongjie Wang
34
0
0
28 Jan 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
53
1
0
28 Jan 2025
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
178
0
0
10 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
81
0
0
31 Dec 2024
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
Loukas Ilias
George Doukas
Vangelis Lamprou
Christos Ntanos
D. Askounis
MoE
81
1
0
04 Dec 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
46
0
0
04 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
41
0
0
03 Nov 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Hugo Inzirillo
Remi Genet
MoE
38
4
0
23 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
21
0
0
21 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffM
VLM
37
1
0
07 Jun 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical
  Image Segmentation
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
Xiaoyang Chen
Hao Zheng
Yifang Xie
Yuncong Ma
Tengfei Li
CLL
48
0
0
25 May 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
48
8
0
27 Mar 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
29
28
0
18 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
36
31
0
27 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
21
0
0
06 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners
PACOL: Poisoning Attacks Against Continual Learners
Huayu Li
G. Ditzler
AAML
25
2
0
18 Nov 2023
Diversifying the Mixture-of-Experts Representation for Language Models
  with Orthogonal Optimizer
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu
Liang Ding
Li Shen
Keqin Peng
Yu Cao
Dazhao Cheng
Dacheng Tao
MoE
36
7
0
15 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for
  Incremental Segmentation
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
48
21
0
10 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
51
9
0
02 Oct 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
Niki van Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
32
10
0
21 Sep 2023
Adaptive Growth: Real-time CNN Layer Expansion
Adaptive Growth: Real-time CNN Layer Expansion
Yunjie Zhu
Yunhao Chen
30
0
0
06 Sep 2023
Model Provenance via Model DNA
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
24
0
0
04 Aug 2023
Self-paced Weight Consolidation for Continual Learning
Self-paced Weight Consolidation for Continual Learning
Wei Cong
Yang Cong
Gan Sun
Yuyang Liu
Jiahua Dong
CLL
29
14
0
20 Jul 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
41
0
0
03 Jun 2023
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D
  Object Detection
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
Barza Nisar
Hruday Vishal Kanna Anand
Steven L. Waslander
35
1
0
27 Apr 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Mohit Sharma
Claudio Fantacci
Yuxiang Zhou
Skanda Koppula
N. Heess
Jonathan Scholz
Y. Aytar
VLM
50
29
0
13 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
37
13
0
11 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
18
52
0
06 Apr 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
37
35
0
26 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric
  Depth Estimation
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
Junjie Hu
Chenyou Fan
Liguang Zhou
Qing Gao
Honghai Liu
Tin Lun Lam
27
2
0
09 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoV
HAI
31
23
0
26 Jan 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Artificial Neuronal Ensembles with Learned Context Dependent Gating
M. Tilley
Michelle Miller
David J. Freedman
29
3
0
17 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
23
93
0
14 Jan 2023
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Ameet Deshpande
Md Arafat Sultan
Anthony Ferritto
Ashwin Kalyan
Karthik R. Narasimhan
Avirup Sil
MoE
38
1
0
29 Nov 2022
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