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1812.00420
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Efficient Lifelong Learning with A-GEM
2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
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Papers citing
"Efficient Lifelong Learning with A-GEM"
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Title
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
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243
103
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Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
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243
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17 Mar 2024
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
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Jiayu Xiao
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167
3
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Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
European Conference on Computer Vision (ECCV), 2024
Yu-Chu Yu
Chi-Pin Huang
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Kai-Po Chang
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209
16
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Hyperparameters in Continual Learning: A Reality Check
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451
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DAM: Dynamic Adapter Merging for Continual Video QA Learning
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Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
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MoMe
316
18
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13 Mar 2024
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
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Cheng Chen
Sitong Su
Xu Luo
Hengtao Shen
Lianli Gao
Jingkuan Song
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171
32
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Deep Submodular Peripteral Networks
Neural Information Processing Systems (NeurIPS), 2024
Gantavya Bhatt
Arnav M. Das
Jeff Bilmes
265
1
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13 Mar 2024
Self-Regulated Neurogenesis for Online Data-Incremental Learning
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Decebal Constantin Mocanu
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282
0
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Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
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Xiaowen Dong
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192
2
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On the Diminishing Returns of Width for Continual Learning
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E. Guha
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329
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A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
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297
3
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Adaptive Hyperparameter Optimization for Continual Learning Scenarios
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J. Hurtado
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Davide Bacciu
235
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Continual Learning and Catastrophic Forgetting
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Nicholas Soures
Dhireesha Kudithipudi
270
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Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
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361
4
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Exploring Continual Learning of Compositional Generalization in NLI
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226
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Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
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122
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Interactive Continual Learning: Fast and Slow Thinking
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Xingquan Chen
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146
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Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
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Xinlong Li
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317
56
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HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
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217
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Generalizable Two-Branch Framework for Image Class-Incremental Learning
Chao Wu
Xiaobin Chang
Ruixuan Wang
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280
2
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One-stage Prompt-based Continual Learning
Youngeun Kim
Yuhang Li
Priyadarshini Panda
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166
15
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COPR: Continual Human Preference Learning via Optimal Policy Regularization
Han Zhang
Lin Gui
Yu Lei
Yuanzhao Zhai
Yehong Zhang
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Kam-Fai Wong
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CLL
204
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Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?
Amogh Mannekote
Xiaoyi Tian
K. Boyer
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151
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Efficient Parameter Mining and Freezing for Continual Object Detection
Angelo G. Menezes
Augusto J. Peterlevitz
Mateus A. Chinelatto
André C. P. L. F. de Carvalho
117
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20 Feb 2024
Towards Cross-Domain Continual Learning
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Chua Haoyan
E. Yapp
CLL
173
3
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Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang Pham
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Hoang H Le
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Savitha Ramasamy
212
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19 Feb 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
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D.K. He
Zhouchen Lin
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280
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Maintaining Adversarial Robustness in Continuous Learning
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Zijia Liu
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Xia Zhu
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AAML
154
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17 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
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Guido Masera
Mohamed Bennai
416
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Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
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Frank Wood
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241
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Continual Domain Adversarial Adaptation via Double-Head Discriminators
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
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259
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Discounted Adaptive Online Learning: Towards Better Regularization
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David Bombara
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231
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Careful with that Scalpel: Improving Gradient Surgery with an EMA
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209
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What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
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293
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Sample Weight Estimation Using Meta-Updates for Online Continual Learning
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208
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Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning
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Guiduo Duan
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257
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Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer
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Qianli Ma
Zhen Liu
Binquan Wu
Hu Feng
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293
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Solving Continual Offline Reinforcement Learning with Decision Transformer
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Li Shen
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A Topology-aware Graph Coarsening Framework for Continual Graph Learning
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240
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Balancing Continual Learning and Fine-tuning for Human Activity Recognition
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Lorena Qendro
Dimitris Spathis
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213
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216
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Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
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Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
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168
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Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
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Yang Li
Yi Gong
Yik-Chung Wu
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126
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