iTAML: An Incremental Task-Agnostic Meta-learning Approach

25 March 2020

Jathushan Rajasegaran

Salman Khan

Papers citing "iTAML: An Incremental Task-Agnostic Meta-learning Approach"

40 / 90 papers shown

Title
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 19 31 0 19 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks Da-Wei Zhou Han-Jia Ye Liang Ma Di Xie Shiliang Pu De-Chuan Zhan CLL 16 119 0 31 Mar 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 30 46 0 28 Mar 2022
Continual Learning Based on OOD Detection and Task Masking Gyuhak Kim Sepideh Esmaeilpour Changnan Xiao Bing-Quan Liu OODD CLL 22 17 0 17 Mar 2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning Dong Gong Qingsen Yan Yuhang Liu A. Hengel Javen Qinfeng Shi CLL BDL 22 37 0 21 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 12 3 0 01 Feb 2022
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 23 0 0 28 Dec 2021
DILF-EN framework for Class-Incremental Learning M. A. Karim Indu Joshi Pratik Mazumder Pravendra Singh CLL 22 1 0 23 Dec 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks Zixuan Ke Bing-Quan Liu Xingchang Huang CLL 15 122 0 18 Dec 2021
Generating meta-learning tasks to evolve parametric loss for classification learning Zhaoyang Hai Xiabi Liu Yuchen Ren N. Q. Soomro 17 0 0 20 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 28 9 0 09 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification Jianping Mei Yilun Zheng Qianwei Zhou Rui Yan VLM CLL 12 6 0 05 Nov 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi Jiaxin Chen Wenlong Zhang Li-Ming Zhan Xiao-Ming Wu CLL 28 152 0 30 Oct 2021
Continual Learning with Differential Privacy Pradnya Desai Phung Lai Nhathai Phan My T. Thai 22 7 0 11 Oct 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 89 29 0 06 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains Puneet Mangla Shivam Chandhok V. Balasubramanian F. Khan VLM OOD 24 4 0 15 Jul 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 16 36 0 09 Jun 2021
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks Khadija Shaheen Muhammad Abdullah Hanif Osman Hasan Muhammad Shafique CLL 6 90 0 26 May 2021
On Learning the Geodesic Path for Incremental Learning Christian Simon Piotr Koniusz Mehrtash Harandi CLL 17 115 0 17 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay K. Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 30 76 0 25 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney Vinay K. Verma K. SrijithP. Lawrence Carin Piyush Rai GAN CLL 28 19 0 06 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 24 448 0 03 Mar 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning Vinay K. Verma Kevin J Liang Nikhil Mehta Lawrence Carin CLL VLM 26 5 0 23 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 19 13 0 15 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting V. Kurmi Badri N. Patro Venkatesh Subramanian Vinay P. Namboodiri 34 21 0 03 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 9 2 0 28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 28 407 0 25 Jan 2021
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 19 42 0 24 Nov 2020
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 23 660 0 28 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 13 215 0 10 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 21 45 0 04 Oct 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL SSL 22 8 0 17 Sep 2020
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning Sandeep Madireddy A. Yanguas-Gil Prasanna Balaprakash CLL 11 0 0 16 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning Hanbin Zhao Yongjian Fu Mintong Kang Qi Tian Fei Wu Xi Li CLL 23 98 0 28 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 6 10 0 12 Jun 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan F. Khan V. Balasubramanian ObjD CLL VLM 174 98 0 17 Mar 2020
Overcoming Catastrophic Forgetting by Generative Regularization Peiqiu Chen Wei Wei Cho-Jui Hsieh Bo Dai CLL 27 16 0 03 Dec 2019