Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,216 papers shown

Title
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 31 98 0 28 Jun 2020
Bookworm continual learning: beyond zero-shot learning and continual learning Kai Wang Luis Herranz Anjan Dutta Joost van de Weijer VLM CLL 32 6 0 26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks Guillaume Hocquet O. Bichler D. Querlioz BDL CLL 16 12 0 24 Jun 2020
Insights from the Future for Continual Learning Arthur Douillard Eduardo Valle Charles Ollion Thomas Robert Matthieu Cord VLM CLL 37 11 0 24 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 25 10 0 22 Jun 2020
Continual Learning in Recurrent Neural Networks Benjamin Ehret Christian Henning Maria R. Cervera Alexander Meulemans J. Oswald Benjamin Grewe CLL 34 9 0 22 Jun 2020
Neural Topic Modeling with Continual Lifelong Learning Pankaj Gupta Yatin Chaudhary Thomas Runkler Hinrich Schütze BDL CLL 20 47 0 19 Jun 2020
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven Qingtao Zhao J. Si Jian Sun 6 12 0 16 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 117 0 13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 22 8 0 13 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 14 10 0 12 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 34 76 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 33 14 0 10 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 85 0 10 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 28 2,857 0 09 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor Theofanis Karaletsos T. Bui BDL 14 24 0 09 Jun 2020
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition Gurunath Reddy Madhumani Sanket Shah Basil Abraham Vikas Joshi Sunayana Sitaram 26 7 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 22 116 0 09 Jun 2020
Continual Representation Learning for Biometric Identification Bo Zhao Shixiang Tang Dapeng Chen Hakan Bilen Rui Zhao CLL 35 34 0 08 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution Pravendra Singh Pratik Mazumder Vinay P. Namboodiri 17 0 0 08 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas J. Guibas OOD 16 154 0 07 Jun 2020
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders Damian Campo Giulia Slavic Mohamad Baydoun L. Marcenaro C. Regazzoni CLL BDL 6 3 0 02 Jun 2020
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition Sanket Shah Basil Abraham M. GurunathReddy Sunayana Sitaram Vikas Joshi 21 18 0 01 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 30 0 0 29 May 2020
Machine Learning for Condensed Matter Physics Edwin Bedolla L. C. Padierna R. Castañeda-Priego AI4CE 28 66 0 28 May 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 35 41 0 27 May 2020
Continual Local Training for Better Initialization of Federated Models Xin Yao Lifeng Sun FedML 22 71 0 26 May 2020
Unsupervised Domain Expansion from Multiple Sources Jing Zhang Wanqing Li Lu Sheng Chang-Fu Tang P. Ogunbona 6 2 0 26 May 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review Marco Toldo Andrea Maracani Umberto Michieli Pietro Zanuttigh SSeg 36 182 0 21 May 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 25 22 0 21 May 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 24 45 0 12 May 2020
Incremental Learning for End-to-End Automatic Speech Recognition Li Fu Xiaoxiao Li Libo Zi Zhengchen Zhang Youzheng Wu Xiaodong He Bowen Zhou CLL 42 23 0 11 May 2020
Continual Learning Using Multi-view Task Conditional Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz CLL 22 1 0 08 May 2020
Explaining How Deep Neural Networks Forget by Deep Visualization Giang Nguyen Shuan Chen Tae Joon Jun Daeyoung Kim AAML 16 10 0 03 May 2020
Neural Network Retraining for Model Serving Diego Klabjan Xiaofeng Zhu CLL 29 10 0 29 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 17 141 0 29 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data Wojciech Masarczyk Ivona Tautkute DD 21 36 0 29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 17 6 0 28 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu KELM CLL 21 214 0 27 Apr 2020
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report Qi She Fan Feng Qi Liu Rosa H. M. Chan Xinyue Hao ... Di Xie Yangsheng Xu Lin Yang Qiaoyong Zhong Liguang Zhou 6 2 0 26 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar H. Ghasemzadeh CLL 20 42 0 24 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 34 403 0 23 Apr 2020
Continual Learning of Object Instances Kishan Parshotam Mert Kilickaya CLL 14 3 0 22 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta Kevin J. Liang Vinay K Verma Lawrence Carin CLL 43 5 0 21 Apr 2020
CLOPS: Continual Learning of Physiological Signals Dani Kiyasseh T. Zhu David Clifton 31 7 0 20 Apr 2020
Boosting Deep Open World Recognition by Clustering Dario Fontanel Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo 20 21 0 20 Apr 2020
Generative Feature Replay For Class-Incremental Learning Xialei Liu Chenshen Wu Mikel Menta Luis Herranz Bogdan Raducanu Andrew D. Bagdanov Shangling Jui Joost van de Weijer CLL 31 145 0 20 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 37 884 0 15 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 19 23 0 13 Apr 2020