Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,212 papers shown

Title
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 8 88 0 02 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiangxiang Chu 20 1,420 0 02 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 16 5 0 01 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks G. Krishnan Timothy Tadros Ramyaa Ramyaa M. Bazhenov 11 18 0 01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 11 233 0 31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 37 49 0 31 Jul 2019
Context-Aware Multipath Networks Dumindu Tissera Kumara Kahatapitiya Rukshan Wijesinghe Subha Fernando Ranga Rodrigo 14 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 36 180 0 23 Jul 2019
Adaptive Compression-based Lifelong Learning Shivangi Srivastava Maxim Berman Matthew B. Blaschko D. Tuia CLL 8 10 0 23 Jul 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old Data Euntae Choi Kyungmi Lee Kiyoung Choi CLL 18 13 0 18 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-xiong Wang Deva Ramanan M. Hebert CLL 24 148 0 18 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 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 32 60 0 11 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco Davide Maltoni Lorenzo Pellegrini CLL VLM 26 67 0 08 Jul 2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets R. Dorent Wenqi Li J. Ekanayake Sebastien Ourselin Tom Kamiel Magda Vercauteren 17 4 0 07 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall Huaiyu Li Weiming Dong Bao-Gang Hu CLL 33 23 0 05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 24 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 19 248 0 29 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 22 32 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 9 3 0 24 Jun 2019
Beneficial perturbation network for continual learning Shixian Wen Laurent Itti CLL KELM 19 2 0 22 Jun 2019
Continual and Multi-Task Architecture Search Ramakanth Pasunuru Joey Tianyi Zhou CLL 25 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 19 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 25 44 0 11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance Qiuyu Zhu Zikuang He Xin Ye CLL 11 6 0 11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 25 59 0 07 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 21 195 0 06 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 33 105 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 12 24 0 03 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 10 349 0 03 Jun 2019
Deeply-supervised Knowledge Synergy Dawei Sun Anbang Yao Aojun Zhou Hao Zhao 12 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 19 23 0 03 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 6 30 0 02 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 13 1,230 0 30 May 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 17 317 0 29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings A. Daruna Weiyu Liu Z. Kira Sonia Chernova 15 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 21 40 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 24 209 0 28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST) Xiaocong Du Gouranga Charan Frank Liu Yu Cao CLL 20 12 0 28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 33 31 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 7 6 0 25 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 32 15 0 25 May 2019
Variational Prototype Replays for Continual Learning Mengmi Zhang Tao Wang J. Lim Gabriel Kreiman Jiashi Feng VLM CLL 11 15 0 23 May 2019
Adversarially robust transfer learning Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein OOD 12 114 0 20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning Xu Zhang Yang Yao Baile Xu Lekun Mao S. Furao Jian Zhao Qingwei Lin CLL 10 2 0 20 May 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 22 41 0 15 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 16 148 0 15 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 18 12 0 13 May 2019
Large-scale weakly-supervised pre-training for video action recognition Deepti Ghadiyaram Matt Feiszli Du Tran Xueting Yan Heng Wang D. Mahajan 8 297 0 02 May 2019
$$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning$ $S^{2}$ -LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning Yanwei Fu Donghao Li Xinwei Sun Shun Zhang Yizhou Wang Yuan Yao 33 0 0 24 Apr 2019