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1612.00796
Cited By
Overcoming catastrophic forgetting in neural networks
2 December 2016
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
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Papers citing
"Overcoming catastrophic forgetting in neural networks"
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Title
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Continual Dialogue State Tracking via Reason-of-Select Distillation
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Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
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TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
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Chen Gao
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Fishers Harvest Parallel Unlearning in Inherited Model Networks
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SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
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Liyuan Wang
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An Efficient Replay for Class-Incremental Learning with Pre-trained Models
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Zhenhao Tan
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E. Mozgunov
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Daniel Lidar
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Joaquin Vanschoren
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Thorsteinn Rögnvaldsson
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Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
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Junru Lu
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39
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SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning
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Junqi Gao
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22
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Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Shaoxu Cheng
Kanglei Geng
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Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
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Dynamic Object Queries for Transformer-based Incremental Object Detection
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39
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Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
Kit M. Bransby
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Jorge Oliveira
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Alberto Gómez
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52
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Benedetta Liberatori
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47
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Constructing Enhanced Mutual Information for Online Class-Incremental Learning
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Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
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MicroCam: Leveraging Smartphone Microscope Camera for Context-Aware Contact Surface Sensing
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Don Samitha Elvitigala
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