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Task Agnostic Continual Learning Using Online Variational Bayes

27 March 2018

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Papers citing "Task Agnostic Continual Learning Using Online Variational Bayes"

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Title
The Bayesian Approach to Continual Learning: An Overview Tameem Adel CLL BDL KELM 188 2 0 11 Jul 2025
Knowledge Adaptation as Posterior Correction Mohammad Emtiyaz Khan 130 0 0 17 Jun 2025
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu Steve Yang Baile Xu Jian Zhao Furao Shen CLL 428 0 0 26 Nov 2024
Prospective Learning: Learning for a Dynamic FutureNeural Information Processing Systems (NeurIPS), 2024 Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 395 3 0 31 Oct 2024
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks Nicholas Soures Peter Helfer Anurag Daram Tej Pandit Dhireesha Kudithipudi CLL 99 10 0 16 Aug 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 248 24 0 27 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 174 82 0 08 Mar 2024
Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati Damian Borth 164 0 0 29 Jan 2024
On Self-Supervised Dynamic Incremental Regularised Adaptation Abanoub Ghobrial Kerstin Eder 76 0 0 13 Nov 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization Jack Foster Alexandra Brintrup CLL 219 1 0 15 Sep 2023
Continual Learning with Deep Streaming Regularized Discriminant Analysis Joe Khawand P. Hanappe David Colliaux CLL 72 1 0 15 Sep 2023
RanPAC: Random Projections and Pre-trained Models for Continual LearningNeural Information Processing Systems (NeurIPS), 2023 Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 323 153 0 05 Jul 2023
One-Shot Machine Unlearning with Mnemonic CodeAsian Conference on Machine Learning (ACML), 2023 Tomoya Yamashita Masanori Yamada Takashi Shibata MU 78 2 0 09 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous Representation ShiftInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Thomas L. Lee Amos Storkey BDL 157 4 0 30 May 2023
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting Timm Hess Eli Verwimp Gido M. van de Ven Tinne Tuytelaars CLL 208 10 0 03 Apr 2023
Computationally Budgeted Continual Learning: What Does Matter?Computer Vision and Pattern Recognition (CVPR), 2023 Christian Schroeder de Witt Hasan Hammoud P. Dokania Juil Sock Ser-Nam Lim Guohao Li Adel Bibi CLL 136 71 0 20 Mar 2023
Traj-MAE: Masked Autoencoders for Trajectory PredictionIEEE International Conference on Computer Vision (ICCV), 2023 Hao Chen Jiaze Wang Youssef Attia El Hili Furui Liu Jianye Hao Chenyong Guan Guangyong Chen Pheng-Ann Heng 179 58 0 12 Mar 2023
On Sequential Bayesian Inference for Continual LearningEntropy (Entropy), 2023 Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 233 10 0 04 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 128 6 0 31 Dec 2022
Instance-Conditional Timescales of Decay for Non-Stationary LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Nishant Jain Pradeep Shenoy 188 6 0 12 Dec 2022
Prototypical quadruplet for few-shot class incremental learning Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 104 2 0 05 Nov 2022
TAME: Task Agnostic Continual Learning using Multiple Experts Haoran Zhu Maryam Majzoubi Arihant Jain A. Choromańska OOD 114 5 0 08 Oct 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 171 11 0 30 Aug 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 195 32 0 24 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory EvolutionInternational Conference on Machine Learning (ICML), 2022 Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 184 47 0 15 Jul 2022
A Study of Continual Learning Methods for Q-LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022 Benedikt Bagus A. Gepperth CLL OffRL 211 5 0 08 Jun 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 233 10 0 28 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 339 1 0 30 Apr 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 106 7 0 12 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 237 78 0 31 Mar 2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022 Dong Gong Qingsen Yan Yuhang Liu Anton Van Den Hengel Javen Qinfeng Shi CLL BDL 162 48 0 21 Feb 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery Zhiqiu Lin Jia Shi Deepak Pathak Deva Ramanan CLL VLM 317 103 0 17 Jan 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 225 1,004 0 16 Dec 2021
Continual Learning via Local Module CompositionNeural Information Processing Systems (NeurIPS), 2021 O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 194 81 0 15 Nov 2021
Towards a theory of out-of-distribution learning Jayanta Dey Ali Geisa Ronak D. Mehta Tyler M. Tomita Hayden S. Helm Haoyin Xu Eric Eaton Jeffery Dick Carey E. Priebe Joshua T. Vogelstein OOD 158 21 0 29 Sep 2021
Sequoia: A Software Framework to Unify Continual Learning Research Fabrice Normandin Florian Golemo O. Ostapenko Pau Rodríguez López Matthew D Riemer ... Dominic Zhao Timothée Lesort Laurent Charlin Irina Rish Massimo Caccia CLL 361 21 0 02 Aug 2021
Continual Learning with Neuron Activation ImportanceInternational Conference on Image Analysis and Processing (ICIAP), 2021 Sohee Kim Seungkyu Lee CLL 110 2 0 27 Jul 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 120 22 0 24 Jun 2021
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 290 25 0 27 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature ReplayPattern Recognition Letters (PR), 2021 Kai Wang Luis Herranz Joost van de Weijer CLL 191 16 0 18 May 2021
Towards Visual SemanticsSN Computer Science (SN Comput. Sci.), 2021 Fausto Giunchiglia L. Erculiani Baptiste Caramiaux 109 16 0 26 Apr 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 128 70 0 20 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online Continual LearningInternational Conference on Learning Representations (ICLR), 2021 Lucas Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 254 237 0 11 Apr 2021
Continual Learning for Recurrent Neural Networks: an Empirical EvaluationNeural Networks (NN), 2021 Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 188 116 0 12 Mar 2021
Posterior Meta-Replay for Continual LearningNeural Information Processing Systems (NeurIPS), 2021 Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 360 68 0 01 Mar 2021
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 303 787 0 28 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point UpdatesNeural Computation (Neural Comput.), 2020 Chen Zeno Itay Golan Elad Hoffer Daniel Soudry OOD FedML 201 48 0 01 Oct 2020
La-MAML: Look-ahead Meta Learning for Continual LearningNeural Information Processing Systems (NeurIPS), 2020 Gunshi Gupta Karmesh Yadav Liam Paull CLL VLM 247 79 0 27 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows Jary Pomponi Simone Scardapane A. Uncini 246 16 0 05 Jul 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity Vithursan Thangarasa Thomas Miconi Graham W. Taylor CLL 117 15 0 30 Jun 2020