Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

29 October 2018

Papers citing "Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference"

46 / 146 papers shown

Title
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 33 33 0 15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 35 40 0 14 Aug 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 48 291 0 28 Jun 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 27 19 0 24 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 21 18 0 16 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 105 0 11 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 19 46 0 05 Jun 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning Yuyang Gao Giorgio Ascoli Liang Zhao 21 4 0 05 May 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization Yufan Huang Yanzhe Zhang Jiaao Chen Xuezhi Wang Diyi Yang CLL 17 106 0 12 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 36 130 0 01 Apr 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai Ruiwen Li Hyunwoo J. Kim Scott Sanner CLL 28 181 0 22 Mar 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 44 267 0 17 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A. Cheraghian Shafin Rahman Pengfei Fang S. Roy L. Petersson Mehrtash Harandi CLL 33 183 0 06 Mar 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning Riccardo Volpi Diane Larlus Grégory Rogez VLM OOD CLL 22 74 0 08 Dec 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 21 0 0 21 Nov 2020
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip Torr CLL 33 114 0 22 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 21 215 0 10 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 37 138 0 09 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 37 45 0 04 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 24 101 0 08 Sep 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 38 63 0 04 Aug 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Batch-level Experience Replay with Review for Continual Learning Zheda Mai Hyunwoo J. Kim Jihwan Jeong Scott Sanner VLM CLL 13 15 0 11 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 29 36 0 09 Jul 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 22 10 0 22 Jun 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Hongyin Luo Shang-Wen Li James R. Glass BDL MedIm 21 9 0 19 May 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 42 184 0 31 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah CLL OOD 30 153 0 25 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 30 46 0 11 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 40 199 0 06 Mar 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao Bo-wen Li Xiangyu Yue Pengfei Xu Kurt Keutzer OOD 46 64 0 19 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 19 233 0 19 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 27 482 0 17 Feb 2020
Multi-source Domain Adaptation for Visual Sentiment Classification Chuang Lin Sicheng Zhao Lei Meng Tat-Seng Chua 17 70 0 12 Jan 2020
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 22 79 0 18 Dec 2019
Multi-source Domain Adaptation for Semantic Segmentation Sicheng Zhao Bo-wen Li Xiangyu Yue Yang Gu Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer 32 159 0 27 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks G. Spigler CLL 17 10 0 09 Sep 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 37 78 0 29 Apr 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 31 389 0 27 Feb 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 0 12 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017