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Learning without Forgetting

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown

Title
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 49 22 0 23 Jan 2020
Active and Incremental Learning with Weak Supervision C. Brust Christoph Käding Joachim Denzler CLL 49 18 0 20 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 88 61 0 16 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 97 79 0 16 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 121 1 0 11 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 48 5 0 07 Jan 2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization Giang Nguyen Shuan Chen T. Do Tae Joon Jun Ho-Jin Choi Daeyoung Kim 60 10 0 06 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 110 286 0 06 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 90 212 0 03 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang Alexander Sax Amir Zamir Leonidas Guibas Jitendra Malik 91 28 0 31 Dec 2019
On the Role of Weight Sharing During Deep Option Learning Matthew D Riemer Ignacio Cases Clemens Rosenbaum Miao Liu Gerald Tesauro OffRL 111 19 0 31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli Gaurav Kumar Nayak Anirban Chakraborty R. Venkatesh Babu 77 37 0 27 Dec 2019
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks Athanasios Davvetas I. Klampanos 30 0 0 22 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation Jian-wei Peng Bo Tang Jiang Hao Zhuo Li Yinjie Lei Tao R. Lin Haifeng Li AAML CLL 75 38 0 19 Dec 2019
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 98 79 0 18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 139 569 0 18 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 181 1,839 0 13 Dec 2019
Regularization Shortcomings for Continual Learning Timothée Lesort Andrei Stoian David Filliat CLL 85 50 0 06 Dec 2019
QUEST: Quantized embedding space for transferring knowledge Himalaya Jain Spyros Gidaris N. Komodakis P. Pérez Matthieu Cord 44 14 0 03 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization Peiqiu Chen Wei Wei Cho-Jui Hsieh Bo Dai CLL 51 17 0 03 Dec 2019
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini G. Graffieti Vincenzo Lomonaco Davide Maltoni CLL 98 167 0 02 Dec 2019
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios Jungwoo Pyo Joohyung Lee Youngjune Park Tien-Cuong Bui S. Cha 45 1 0 02 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 120 17 0 01 Dec 2019
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images Zhaohui Yang Miaojing Shi Chao Xu V. Ferrari Yannis Avrithis WSOD 88 10 0 01 Dec 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 109 44 0 29 Nov 2019
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections Theodora Kontogianni Michael Gygli J. Uijlings V. Ferrari CLL VLM 91 59 0 28 Nov 2019
Lifelong Spectral Clustering Gan Sun Yang Cong Qianqian Wang Jun Li Y. Fu CLL 79 20 0 27 Nov 2019
Domain-Aware Dynamic Networks Tianyuan Zhang Bichen Wu Xin Wang Joseph E. Gonzalez Kurt Keutzer 79 6 0 26 Nov 2019
Neural Random Forest Imitation Christoph Reinders Bodo Rosenhahn 43 1 0 25 Nov 2019
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 76 73 0 21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 83 5 0 19 Nov 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 66 21 0 18 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 155 432 0 16 Nov 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 123 76 0 15 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Yadan Luo Zi Huang Zheng Zhang Ziwei Wang Mahsa Baktashmotlagh Yang Yang CLL BDL 63 25 0 12 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 99 100 0 08 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 43 264 0 31 Oct 2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization Rongcheng Lin Jing Xiao Jianping Fan 15 4 0 27 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 120 22 0 24 Oct 2019
Human Action Recognition in Drone Videos using a Few Aerial Training Examples Waqas Sultani M. Shah 81 47 0 22 Oct 2019
Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 125 376 0 15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 110 318 0 15 Oct 2019
Learning to Remember from a Multi-Task Teacher Yuwen Xiong Mengye Ren R. Urtasun CLL KELM OOD 69 4 0 10 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 94 34 0 07 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition Shahram Ghorbani S. Khorram John H. L. Hansen 48 19 0 01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 97 96 0 29 Sep 2019
On Generalizing Detection Models for Unconstrained Environments Prajjwal Bhargava OOD 23 7 0 28 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 56 12 0 22 Sep 2019
ContCap: A scalable framework for continual image captioning Giang Nguyen Tae Joon Jun T. Tran Tolcha Yalew Daeyoung Kim VLM CLL 60 10 0 19 Sep 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 81 246 0 18 Sep 2019