Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,216 papers shown

Title
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 30 55 0 04 Apr 2021
Towards Lifelong Learning of End-to-end ASR Heng-Jui Chang Hung-yi Lee Lin-Shan Lee KELM CLL 35 34 0 04 Apr 2021
Class-incremental Learning using a Sequence of Partial Implicitly Regularized Classifiers Sobirdzhon Bobiev Adil Khan S. M. Ahsan Kazmi CLL 16 0 0 04 Apr 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation Zilong Huang Wentian Hao Xinggang Wang Mingyuan Tao Jianqiang Huang Wenyu Liu Xiansheng Hua CLL 27 12 0 02 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 47 181 0 01 Apr 2021
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning Hanne I Oberman Jiayan Qiu S. van Buuren G. Vink Zhanyu Ma Jun Guo 31 13 0 01 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 42 324 0 31 Mar 2021
Rectification-based Knowledge Retention for Continual Learning Pravendra Singh Pratik Mazumder Piyush Rai Vinay P. Namboodiri CLL 27 41 0 30 Mar 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples Andrea Rosasco Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu DD 29 48 0 29 Mar 2021
ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations Bahram Mohammadi Mohammad Sabokrou CLL 14 0 0 29 Mar 2021
Self-Supervised Training Enhances Online Continual Learning Jhair Gallardo Tyler L. Hayes Christopher Kanan CLL 27 68 0 25 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 19 7 0 25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 48 76 0 25 Mar 2021
Incrementally Zero-Shot Detection by an Extreme Value Analyzer Sixiao Zheng Yanwei Fu Yanxi Hou VLM ObjD 16 1 0 23 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without memory Quentin Jodelet Xin Liu T. Murata CLL 35 25 0 23 Mar 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation Nan Pu Wei Chen Yu Liu E. Bakker M. Lew CLL 24 82 0 23 Mar 2021
Gradient Regularized Contrastive Learning for Continual Domain Adaptation Shixiang Tang Peng Su Peng Gao Ni Zhao CLL 26 65 0 23 Mar 2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning Ali Ayub Alan R. Wagner CLL 27 11 0 23 Mar 2021
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning Mozhgan Pourkeshavarz Mohammad Sabokrou CLL VLM 27 0 0 22 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai Ruiwen Li Hyunwoo J. Kim Scott Sanner CLL 42 181 0 22 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 25 14 0 22 Mar 2021
A Batch Normalization Classifier for Domain Adaptation Matthew R. Behrend S. Robinson OOD 19 0 0 22 Mar 2021
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset Lukás Picek Milan Šulc Jirí Matas J. Heilmann‐Clausen T. Jeppesen T. Læssøe T. Frøslev 30 54 0 18 Mar 2021
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition Nikhil Churamani Ozgur Kara Hatice Gunes 32 37 0 15 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 41 107 0 12 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 31 132 0 12 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations Umberto Michieli Pietro Zanuttigh CLL 43 138 0 10 Mar 2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets Pengbo Liu Li Xiao S. Kevin Zhou CLL 20 12 0 08 Mar 2021
Learning to Continually Learn Rapidly from Few and Noisy Data N. Kuo Mehrtash Harandi Nicolas Fourrier Christian J. Walder Gabriela Ferraro H. Suominen CLL KELM 19 4 0 06 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A. Cheraghian Shafin Rahman Pengfei Fang S. Roy L. Petersson Mehrtash Harandi CLL 33 183 0 06 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney Vinay Kumar Verma K. SrijithP. Lawrence Carin Piyush Rai GAN CLL 36 21 0 06 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes Christopher Kanan CLL 31 20 0 06 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 30 448 0 03 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 80 984 0 03 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 43 77 0 03 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Few-Shot Lifelong Learning Pratik Mazumder Pravendra Singh Piyush Rai CLL 31 119 0 01 Mar 2021
Towards Continual, Online, Self-Supervised Depth Muhammad Umar Karim Khan TTA CLL 33 2 0 28 Feb 2021
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning Anthony Sicilia Xingchen Zhao D. Minhas Erin O'Connor H. Aizenstein W. Klunk D. Tudorascu Seong Jae Hwang 26 6 0 25 Feb 2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Lawrence Carin CLL VLM 37 5 0 23 Feb 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 69 0 22 Feb 2021
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 24 86 0 19 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 22 96 0 18 Feb 2021
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks Lemeng Wu Bo Liu Peter Stone Qiang Liu 70 55 0 17 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes Mohamad Shahbazi Zhiwu Huang D. Paudel Ajad Chhatkuli Luc Van Gool 17 27 0 12 Feb 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching Mingi Ji Byeongho Heo Sungrae Park 65 145 0 05 Feb 2021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation Ekdeep Singh Lubana Puja Trivedi Danai Koutra Robert P. Dick 35 12 0 04 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting V. Kurmi Badri N. Patro Venkatesh Subramanian Vinay P. Namboodiri 49 22 0 03 Feb 2021
Self-Attention Meta-Learner for Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 27 11 0 28 Jan 2021