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Expert Gate: Lifelong Learning with a Network of Experts

18 November 2016

Tinne Tuytelaars

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

30 / 30 papers shown

Title
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation Zhikai Wang Yanyan Shen AI4TS 189 0 0 30 Apr 2025
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 150 0 0 09 Apr 2025
Mixture of Lookup Experts Shibo Jie Yehui Tang Kai Han Yongqian Li Duyu Tang Zhi-Hong Deng Yunhe Wang MoE 104 1 0 20 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 465 5 0 10 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 152 1 0 17 Feb 2025
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions Shishir Muralidhara René Schuster Didier Stricker CLL 537 0 0 10 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning Yewon Byun Sanket Vaibhav Mehta Saurabh Garg Emma Strubell Michael Oberst Bryan Wilder Zachary Chase Lipton 140 0 0 31 Dec 2024
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 104 1 0 04 Dec 2024
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 110 0 0 04 Nov 2024
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 184 2 0 01 Oct 2024
Mixture of Experts Meets Prompt-Based Continual Learning Minh Le An Nguyen Huy Nguyen Trang Nguyen Trang Pham L. Ngo Nhat Ho CLL 95 14 0 23 May 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 92 11 0 27 Mar 2024
Knowledge transfer in deep block-modular neural networks A. Terekhov Guglielmo Montone J. O'Regan 55 74 0 24 Jul 2019
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 251 2,683 0 23 Jan 2017
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 142 677 0 07 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 304 4,423 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,463 0 15 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 92 58 0 31 May 2016
Network of Experts for Large-Scale Image Categorization Karim Ahmed M. H. Baig Lorenzo Torresani 75 126 0 20 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,641 0 06 Apr 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 322 2,948 0 15 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,275 0 05 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,449 0 21 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 188 4,951 0 06 Oct 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 126 2,269 0 21 Jun 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 70 505 0 18 Nov 2012
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 261 527 0 27 Jun 2012
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 119 510 0 11 Sep 2008