Variational Continual Learning

29 October 2017

Papers citing "Variational Continual Learning"

50 / 113 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning M. Nori Il Kim Guanghui Wang CLL 42 0 0 09 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 85 0 0 27 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration Chengqi Zheng Haiyan Yin Jianda Chen Terence Ng Yew-Soon Ong Ivor Tsang CLL 116 0 0 07 Mar 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun-Jie Luo 60 0 0 18 Feb 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Christopher Angelini N. Bouaynaya BDL 31 0 0 18 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 142 0 0 15 Jan 2025
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu S. M. I. Simon X. Yang Baile Xu Jian Zhao F. Shen CLL 81 0 0 26 Nov 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 74 0 0 25 Nov 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory Zihong He Weizhe Lin Hao Zheng Fan Zhang Matt Jones Laurence Aitchison X. Xu Miao Liu Per Ola Kristensson Junxiao Shen 77 2 0 01 Nov 2024
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 44 0 0 10 Oct 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 54 0 0 30 Aug 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 54 1 0 31 May 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP Umberto Michieli Mete Ozay VLM 27 2 0 28 Feb 2024
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 16 0 0 06 Dec 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 36 7 0 08 Nov 2023
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 13 1 0 21 Oct 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data Weijieying Ren Tianxiang Zhao Wei Qin Kunpeng Liu TTA AI4TS 16 5 0 05 Sep 2023
Continual Improvement of Threshold-Based Novelty Detection Abe Ejilemele Jorge Mendez-Mendez 28 0 0 05 Sep 2023
Continual Pre-Training of Large Language Models: How to (re)warm your model? Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L. Richter Quentin G. Anthony Eugene Belilovsky Irina Rish Timothée Lesort KELM 22 99 0 08 Aug 2023
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 20 70 0 20 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 22 16 0 13 Jul 2023
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 20 4 0 06 Jun 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 29 105 0 17 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 29 4 0 21 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning Wenjin Wang Yunqing Hu Qianglong Chen Yin Zhang CLL 26 13 0 11 Apr 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 19 11 0 27 Mar 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains Kevin Thandiackal Luigi Piccinelli Pushpak Pati O. Goksel CLL OOD MedIm 32 6 0 02 Feb 2023
Streaming LifeLong Learning With Any-Time Inference S. Banerjee Vinay K. Verma Vinay P. Namboodiri CLL 22 3 0 27 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold ... Zifan Xu A. Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha 17 15 0 18 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 21 0 0 11 Jan 2023
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 12 0 0 25 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 11 26 0 12 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 60 27 0 28 Sep 2022
On the Limitations of Continual Learning for Malware Classification Mohammad Saidur Rahman Scott E. Coull M. Wright 26 13 0 13 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 19 27 0 15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 14 38 0 15 Jul 2022
Challenges and Pitfalls of Bayesian Unlearning Ambrish Rawat James Requeima W. Bruinsma Richard E. Turner BDL MU 39 5 0 07 Jul 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 14 92 0 06 Jun 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 22 5 0 23 May 2022
LifeLonger: A Benchmark for Continual Disease Classification Mohammad Mahdi Derakhshani Ivona Najdenkoska Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring Cees G. M. Snoek 24 31 0 12 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning Quang-Cuong Pham Chenghao Liu S. Hoi BDL OnRL 18 57 0 30 Mar 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard E. Turner FedML 19 12 0 24 Feb 2022
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment Jemin Lee Misun Yu Yongin Kwon Teaho Kim MQ 9 17 0 10 Feb 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization Frederik Benzing ODL 35 23 0 28 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship Quanziang Wang Renzhen Wang Yuexiang Li Dong Wei Kai Ma Yefeng Zheng Deyu Meng CLL 24 6 0 31 Dec 2021
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 33 0 0 26 Dec 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 19 35 0 07 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning Dhanajit Brahma Vinay K. Verma Piyush Rai BDL CLL 22 12 0 05 Oct 2021