Task Agnostic Continual Learning via Meta Learning

12 June 2019

Papers citing "Task Agnostic Continual Learning via Meta Learning"

50 / 66 papers shown

Title
Separating the what and how of compositional computation to enable reuse and continual learning Haozhe Shan Sun Minni Lea Duncker CLL 100 0 0 23 Oct 2025
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular DataNeural Information Processing Systems (NeurIPS), 2024 Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Katharina Eggensperger OOD 299 15 0 15 Nov 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Xiwen Wei Guihong Li R. Marculescu 193 12 0 08 Nov 2024
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review Javad Hassannataj Joloudari Mohammad Maftoun Bahareh Nakisa R. Alizadehsani Meisam Yadollahzadeh-Tabari 86 3 0 09 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-InitializationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 358 0 0 04 Sep 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 178 2 0 23 May 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 241 11 0 09 Feb 2024
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 240 5 0 20 Dec 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 293 21 0 09 Nov 2023
Clustering-based Domain-Incremental Learning Christiaan Lamers René Vidal A. Belbachir Niki van Stein Thomas Baeck Paris Giampouras CLL OOD 147 12 0 21 Sep 2023
Real World Time Series Benchmark Datasets with Distribution Shifts: Global Crude Oil Price and Volatility Pranay Pasula 138 2 0 21 Aug 2023
Learning to Modulate pre-trained Models in RLNeural Information Processing Systems (NeurIPS), 2023 Thomas Schmied M. Hofmarcher Fabian Paischer Razvan Pascanu Sepp Hochreiter CLL OffRL 220 24 0 26 Jun 2023
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend ForecastingKnowledge Discovery and Data Mining (KDD), 2023 Lifan Zhao Shuming Kong Yanyan Shen AIFin 337 38 0 16 Jun 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 144 6 0 12 May 2023
Forget-free Continual Learning with Soft-Winning SubNetworks Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang D. Yoo CLL 197 7 0 27 Mar 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning Mohamed Elsayed A. R. Mahmood CLL 193 8 0 07 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven EnvironmentsInternational Conference on Learning Representations (ICLR), 2023 Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 342 2 0 04 Feb 2023
Modality-Agnostic Variational Compression of Implicit Neural RepresentationsInternational Conference on Machine Learning (ICML), 2023 Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 244 28 0 23 Jan 2023
On Neural Consolidation for Transfer in Reinforcement LearningIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 Valentin Guillet Dennis G. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson CLL 108 0 0 05 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and PresentInternational Conference on Learning Representations (ICLR), 2022 Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 374 3 0 04 Oct 2022
On the Soft-Subnetwork for Few-shot Class Incremental LearningInternational Conference on Learning Representations (ICLR), 2022 Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang D. Yoo CLL 215 56 0 15 Sep 2022
Beyond Supervised Continual Learning: a Review Benedikt Bagus A. Gepperth Timothée Lesort BDL CLL 203 11 0 30 Aug 2022
Discrete Key-Value BottleneckInternational Conference on Machine Learning (ICML), 2022 Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 262 23 0 22 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 208 48 0 15 Jul 2022
Lifelong Wandering: A realistic few-shot online continual learning setting Mayank Lunayach James Smith Z. Kira CLL 182 3 0 16 Jun 2022
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia Jonas W. Mueller Taesup Kim Laurent Charlin Rasool Fakoor CLL 245 10 0 28 May 2022
Probing Representation Forgetting in Supervised and Unsupervised Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022 Mohammad-Javad Davari Nader Asadi Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL KELM 192 76 0 24 Mar 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 100 4 0 01 Feb 2022
Mixture of basis for interpretable continual learning with distribution shifts Mengda Xu Sumitra Ganesh Pranay Pasula OOD 151 1 0 05 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 183 16 0 08 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road aheadInformation Fusion (Inf. Fusion), 2021 Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 142 105 0 26 Nov 2021
Reviewing continual learning from the perspective of human-level intelligence Yifan Chang Wenbo Li Jian Peng Bo Tang Yuzhi Kang Yinjie Lei Yuanmiao Gui Qing Zhu Yu Liu Haifeng Li 182 4 0 23 Nov 2021
Continual Learning via Local Module CompositionNeural Information Processing Systems (NeurIPS), 2021 O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 219 81 0 15 Nov 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 170 53 0 27 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 239 49 0 01 Oct 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 191 21 0 29 Sep 2021
Continual Semi-Supervised Learning through Contrastive Interpolation ConsistencyPattern Recognition Letters (PR), 2021 Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 119 47 0 14 Aug 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 373 21 0 02 Aug 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 127 22 0 24 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via MetalearningNeural Information Processing Systems (NeurIPS), 2021 J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 262 42 0 09 Jun 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agentsNeural Information Processing Systems (NeurIPS), 2021 Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 261 57 0 28 May 2021
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 349 25 0 27 May 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 282 242 0 11 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 205 59 0 04 Apr 2021
Continual Learning for Recurrent Neural Networks: an Empirical EvaluationNeural Networks (NN), 2021 Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 236 117 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 420 70 0 01 Mar 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay BufferIEEE International Joint Conference on Neural Network (IJCNN), 2021 James Smith Jonathan C. Balloch Yen-Chang Hsu Z. Kira CLL 381 45 0 23 Jan 2021
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 118 4 0 14 Dec 2020
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization Yunfei Teng A. Choromańska Murray Campbell Songtao Lu Parikshit Ram L. Horesh CLL 235 3 0 25 Nov 2020
Linear Mode Connectivity in Multitask and Continual LearningInternational Conference on Learning Representations (ICLR), 2020 Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 257 164 0 09 Oct 2020

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Task Agnostic Continual Learning via Meta Learning

Papers citing "Task Agnostic Continual Learning via Meta Learning"