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Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown

Title
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles CLL KELM 82 17 0 25 May 2019
Variational Prototype Replays for Continual Learning Mengmi Zhang Tao Wang J. Lim Gabriel Kreiman Jiashi Feng VLM CLL 73 15 0 23 May 2019
Adversarially robust transfer learning Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein OOD 52 117 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 27 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 102 41 0 15 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 75 151 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 54 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 64 299 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 38 0 0 24 Apr 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 897 0 15 Apr 2019
Knowledge Flow: Improve Upon Your Teachers Iou-Jen Liu Jian-wei Peng Alex Schwing 110 62 0 11 Apr 2019
Variational Information Distillation for Knowledge Transfer SungSoo Ahn S. Hu Andreas C. Damianou Neil D. Lawrence Zhenwen Dai 102 622 0 11 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks Eunwoo Kim Chanho Ahn Philip Torr Songhwai Oh 53 12 0 09 Apr 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval Qing Liu Lingxi Xie Huiyu Wang Alan Yuille VLM 86 109 0 05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 178 303 0 05 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 85 55 0 03 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 139 206 0 29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge Dawei Li Serafettin Tasci Shalini Ghosh Jingwen Zhu Junting Zhang Larry Heck ObjD 71 9 0 26 Mar 2019
Multi-Attribute Selectivity Estimation Using Deep Learning Shohedul Hasan Saravanan Thirumuruganathan Jees Augustine Nick Koudas Gautam Das 72 25 0 24 Mar 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 144 840 0 20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML Jie Zhang Junting Zhang Shalini Ghosh Dawei Li Jingwen Zhu Heming Zhang Yalin Wang CLL 27 2 0 20 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 117 341 0 19 Mar 2019
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration Rohan R. Paleja Matthew C. Gombolay 56 7 0 14 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong Learning Gan Sun Yang Cong Qianqian Wang Bineng Zhong Y. Fu CLL 54 55 0 06 Mar 2019
3D Hand Shape and Pose Estimation from a Single RGB Image Liuhao Ge Zhou Ren Yuncheng Li Zehao Xue Yingying Wang Jianfei Cai Junsong Yuan 3DH 101 441 0 03 Mar 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 95 401 0 27 Feb 2019
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon Saehoon Kim Eunho Yang Sung Ju Hwang CLL 98 178 0 25 Feb 2019
Overcoming Multi-Model Forgetting Yassine Benyahia Kaicheng Yu Kamil Bennani-Smires Martin Jaggi A. Davison Mathieu Salzmann C. Musat MoMe KELM CLL 96 37 0 21 Feb 2019
Differentially Private Continual Learning Sebastian Farquhar Y. Gal FedML MU 50 12 0 18 Feb 2019
Manifestation of Image Contrast in Deep Networks A. Akbarinia K. Gegenfurtner 33 4 0 12 Feb 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks Jason M. Allred Kaushik Roy CLL 92 31 0 08 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains Yunhui Guo Yandong Li Rogerio Feris Liqiang Wang Tajana Simunic OOD 90 158 0 03 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence Dahyun Kim Jihwan Bae Yeonsik Jo Jonghyun Choi OOD CLL 72 20 0 03 Feb 2019
Policy Consolidation for Continual Reinforcement Learning Christos Kaplanis Murray Shanahan Claudia Clopath CLL OffRL 78 51 0 01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 73 187 0 31 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks Xingjian Li Haoyi Xiong Hanchao Wang Yuxuan Rao Liping Liu Zeyu Chen Jun Huan 82 172 0 26 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification Youngmin Ro Jongwon Choi D. Jo Byeongho Heo Jongin Lim J. Choi 54 16 0 18 Jan 2019
Exploring the Challenges towards Lifelong Fact Learning Mohamed Elhoseiny F. Babiloni Rahaf Aljundi Marcus Rohrbach Manohar Paluri Tinne Tuytelaars 50 12 0 26 Dec 2018
Generative Models from the perspective of Continual Learning Timothée Lesort Hugo Caselles-Dupré Michael Garcia Ortiz Andrei Stoian David Filliat VLM DiffM 77 158 0 21 Dec 2018
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction Yifan Xing Rahul Tewari Paulo R. S. Mendonça 3DH 56 8 0 14 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 142 362 0 10 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation Alexandre Ramé Emilien Garreau H. Ben-younes Charles Ollion ObjD 103 17 0 06 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning Jian-wei Peng Jiang Hao Zhuo Li Enqiang Guo X. Wan Min Deng Qing Zhu Haifeng Li CLL 27 5 0 04 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting Junfeng Wen Yanshuai Cao Ruitong Huang CLL 49 24 0 03 Dec 2018
On the Transferability of Representations in Neural Networks Between Datasets and Tasks Haytham M. Fayek L. Cavedon H. Wu 54 5 0 29 Nov 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 126 1,177 0 28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 91 56 0 27 Nov 2018
From Recognition to Cognition: Visual Commonsense Reasoning Rowan Zellers Yonatan Bisk Ali Farhadi Yejin Choi LRM BDL OCL ReLM 220 885 0 27 Nov 2018
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation Shiming Ge Shengwei Zhao Chenyu Li Jia Li CVBM 135 188 0 25 Nov 2018
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks Alon Shoshan Roey Mechrez Lihi Zelnik-Manor OOD 74 33 0 21 Nov 2018