Continual Learning via Neural Pruning

11 March 2019

Papers citing "Continual Learning via Neural Pruning"

24 / 24 papers shown

Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 48 0 0 13 Mar 2025
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
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
EsaCL: Efficient Continual Learning of Sparse Models Weijieying Ren V. Honavar CLL 20 3 0 11 Jan 2024
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 21 2 0 13 Oct 2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning Mustafa Burak Gurbuz J. M. Moorman Constantinos Dovrolis CLL 18 0 0 29 May 2023
How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Christopher Kanan 16 22 0 29 Mar 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Bhat Bahram Zonooz Elahe Arani CLL 18 24 0 14 Feb 2023
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 19 5 0 23 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 13 0 0 14 Oct 2022
ATLAS: Universal Function Approximator for Memory Retention H. V. Deventer Anna Sergeevna Bosman 22 0 0 10 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa CLL 21 19 0 09 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 208 0 26 Jul 2022
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets Yuqing Zhao Divya Saxena Jiannong Cao CLL 13 12 0 22 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 23 61 0 20 Jul 2022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 30 295 0 22 Nov 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar D. Mocanu Mykola Pechenizkiy CLL 21 8 0 11 Oct 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 41 7 0 06 May 2021
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 11 9 0 25 Nov 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 21 87 0 05 Oct 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 22 173 0 14 Jul 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 17 279 0 26 Jun 2020
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 29 49 0 31 Jul 2019