iCaRL: Incremental Classifier and Representation Learning

23 November 2016

Sylvestre-Alvise Rebuffi

Papers citing "iCaRL: Incremental Classifier and Representation Learning"

50 / 704 papers shown

Title
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning Riccardo Del Chiaro Bartlomiej Twardowski Andrew D. Bagdanov Joost van de Weijer CLL VLM 30 0 0 13 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 29 37 0 09 Jul 2020
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation Yoel Zeldes Dan Padnos Or Sharir Barak Peleg 31 19 0 30 Jun 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 33 279 0 26 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
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 116 0 13 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 103 0 12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 21 219 0 12 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 36 477 0 10 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
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 29 104 0 09 Jun 2020
Efficient Architecture Search for Continual Learning Qiang Gao Zhipeng Luo Diego Klabjan CLL 43 48 0 07 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 38 226 0 06 Jun 2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction Francesco Marchetti Federico Becattini Lorenzo Seidenari A. Bimbo 23 117 0 05 Jun 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 22 45 0 12 May 2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning Zihan Liu Genta Indra Winata Andrea Madotto Pascale Fung CLL 46 18 0 29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 14 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 21 213 0 27 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
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
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 22 80 0 02 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 42 184 0 31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 22 176 0 31 Mar 2020
Incremental Learning In Online Scenario Jiangpeng He Runyu Mao Zeman Shao F. Zhu CLL 18 147 0 30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yong Guo P. Zhao Junzhou Huang Mingkui Tan 15 27 0 29 Mar 2020
Towards Backward-Compatible Representation Learning Yantao Shen Yuanjun Xiong W. Xia Stefano Soatto 33 78 0 26 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah CLL OOD 30 153 0 25 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 199 0 21 Mar 2020
Online Continual Learning on Sequences G. I. Parisi Vincenzo Lomonaco CLL 19 25 0 20 Mar 2020
Lifelong Learning with Searchable Extension Units Wenjin Wang Yunqing Hu Yin Zhang KELM CLL 13 3 0 19 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 177 98 0 17 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay Qicheng Lao Xiang Jiang Mohammad Havaei Yoshua Bengio VLM 23 33 0 09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 26 62 0 07 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 21 234 0 19 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 483 0 17 Feb 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 24 277 0 03 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 28 280 0 06 Jan 2020
Human Action Recognition and Assessment via Deep Neural Network Self-Organization G. I. Parisi 24 8 0 04 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 16 209 0 03 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 51 775 0 01 Jan 2020
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli Gaurav Kumar Nayak Anirban Chakraborty R. Venkatesh Babu 14 36 0 27 Dec 2019
Direction Concentration Learning: Enhancing Congruency in Machine Learning Yan Luo Yongkang Wong Mohan Kankanhalli Qi Zhao 23 12 0 17 Dec 2019
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini G. Graffieti Vincenzo Lomonaco Davide Maltoni CLL 28 163 0 02 Dec 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 38 75 0 15 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 28 98 0 08 Nov 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 15 22 0 24 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 61 1,189 0 21 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019