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Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown

Title
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 87 42 0 09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning Fan-Keng Sun Cheng-Hao Ho Hung-yi Lee CLL KELM 97 213 0 07 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 105 210 0 30 Aug 2019
BooVAE: Boosting Approach for Continual Learning of VAE Anna Kuzina Evgenii Egorov Evgeny Burnaev CLL 93 26 0 30 Aug 2019
Learning Continually from Low-shot Data Stream Canyu Le Xihan Wei Biao Wang L. Zhang Zhonggui Chen CLL 24 3 0 27 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 89 28 0 23 Aug 2019
Regularizing CNN Transfer Learning with Randomised Regression Yang Zhong A. Maki 117 13 0 16 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 113 552 0 11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 156 40 0 08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 72 95 0 02 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 188 1,478 0 02 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 40 5 0 01 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks G. Krishnan Timothy Tadros Ramyaa Ramyaa M. Bazhenov 36 18 0 01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 120 235 0 31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 94 49 0 31 Jul 2019
Context-Aware Multipath Networks Dumindu Tissera Kumara Kahatapitiya Rukshan Wijesinghe Subha Fernando Ranga Rodrigo 45 7 0 26 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation Mengyao Zhai Lei Chen Frederick Tung Jiawei He Megha Nawhal Greg Mori CLL 102 183 0 23 Jul 2019
Adaptive Compression-based Lifelong Learning Shivangi Srivastava Maxim Berman Matthew B. Blaschko D. Tuia CLL 77 10 0 23 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old Data Euntae Choi Kyungmi Lee Kiyoung Choi CLL 48 13 0 18 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-Xiong Wang Deva Ramanan M. Hebert CLL 72 150 0 18 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 83 11 0 13 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 89 61 0 11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco Davide Maltoni Lorenzo Pellegrini CLL VLM 103 67 0 08 Jul 2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets Reuben Dorent Wenqi Li J. Ekanayake Sebastien Ourselin Tom Vercauteren 55 4 0 07 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall Huaiyu Li Weiming Dong Bao-Gang Hu CLL 62 23 0 05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 56 29 0 29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 120 250 0 29 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 127 34 0 24 Jun 2019
Lifelong Learning Starting From Zero Claes Strannegård Herman Carlström Niklas Engsner Fredrik Mäkeläinen Filip Slottner Seholm M. Chehreghani AI4CE KELM CLL 16 3 0 24 Jun 2019
Beneficial perturbation network for continual learning Shixian Wen Laurent Itti CLL KELM 29 2 0 22 Jun 2019
Continual and Multi-Task Architecture Search Ramakanth Pasunuru Joey Tianyi Zhou CLL 67 48 0 12 Jun 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 55 94 0 12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 118 45 0 11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance Qiuyu Zhu Zikuang He Xin Ye CLL 44 6 0 11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 104 59 0 07 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 68 197 0 06 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 110 106 0 05 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning Jathushan Rajasegaran Munawar Hayat Salman Khan Fahad Shahbaz Khan Ling Shao Ming-Hsuan Yang ODL CLL 84 24 0 03 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 105 363 0 03 Jun 2019
Deeply-supervised Knowledge Synergy Dawei Sun Anbang Yao Aojun Zhou Hao Zhao 51 63 0 03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 133 23 0 03 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 48 30 0 02 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 106 1,262 0 30 May 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 85 321 0 29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings A. Daruna Weiyu Liu Z. Kira Sonia Chernova 27 0 0 29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 104 41 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 100 221 0 28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST) Xiaocong Du Gouranga Charan Frank Liu Yu Cao CLL 54 12 0 28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 83 32 0 27 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization Farshid Varno Behrouz Haji Soleimani Marzie Saghayi Di-Jorio Lisa Stan Matwin AAML 34 6 0 25 May 2019