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2012.12631
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Efficient Continual Learning with Modular Networks and Task-Driven Priors
International Conference on Learning Representations (ICLR), 2020
23 December 2020
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
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Papers citing
"Efficient Continual Learning with Modular Networks and Task-Driven Priors"
50 / 54 papers shown
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Parameter-Efficient Continual Fine-Tuning: A Survey
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552
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Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
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445
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214
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189
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Class Gradient Projection For Continual Learning
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213
22
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239
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Visually Grounded Continual Language Learning with Selective Specialization
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376
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237
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488
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J. Hurtado
Cristian-Radu Buc
Alvaro Soto
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285
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Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
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Loizos Michael
C. Dovrolis
284
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395
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286
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I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
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280
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210
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14 Feb 2023
Theory on Forgetting and Generalization of Continual Learning
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Sen Lin
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Ness B. Shroff
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297
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12 Feb 2023
Multipath agents for modular multitask ML systems
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293
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06 Feb 2023
Continual Learning with Scaled Gradient Projection
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Gobinda Saha
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291
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02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
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Liyuan Wang
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948
1,250
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31 Jan 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
Neural Information Processing Systems (NeurIPS), 2023
Yaoyao Liu
Bernt Schiele
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230
125
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14 Jan 2023
Dynamically Modular and Sparse General Continual Learning
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Arnav Varma
Elahe Arani
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181
1
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02 Jan 2023
Building a Subspace of Policies for Scalable Continual Learning
International Conference on Learning Representations (ICLR), 2022
Jean-Baptiste Gaya
T. Doan
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Laure Soulier
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520
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NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
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...
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Yee Whye Teh
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372
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Exclusive Supermask Subnetwork Training for Continual Learning
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347
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208
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Beyond Supervised Continual Learning: a Review
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318
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344
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How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
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403
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CompoSuite: A Compositional Reinforcement Learning Benchmark
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282
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SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
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229
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Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
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Zhiwei Deng
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398
127
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Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
International Conference on Learning Representations (ICLR), 2022
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272
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Continual Learning with Foundation Models: An Empirical Study of Latent Replay
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626
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TRGP: Trust Region Gradient Projection for Continual Learning
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242
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