Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

29 March 2019

Papers citing "Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild"

50 / 118 papers shown

Title
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning James Smith Leonid Karlinsky V. Gutta Paola Cascante-Bonilla Donghyun Kim Assaf Arbelle Rameswar Panda Rogerio Feris Z. Kira CLL VPVLM VLM 32 256 0 23 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 15 2 0 09 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 19 70 0 04 Nov 2022
Entropy Regularized Reinforcement Learning with Cascading Networks R. D. Vecchia Alena Shilova Philippe Preux R. Akrour 9 1 0 16 Oct 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 8 14 0 03 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 33 113 0 24 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 15 29 0 20 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer Arjun Ashok K. J. Joseph V. Balasubramanian CLL 14 29 0 07 Aug 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning Yajing Kong Liu Liu Zhen Wang Dacheng Tao CLL 23 34 0 25 Jul 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 21 4 0 15 Jun 2022
Confident Sinkhorn Allocation for Pseudo-Labeling Vu-Linh Nguyen Hisham Husain S. Farfade A. Hengel 25 5 0 13 Jun 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 27 5 0 23 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 34 4 0 19 May 2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 19 31 0 19 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 18 58 0 31 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Bernard Ghanem Jian Zhang CLL 20 61 0 24 Mar 2022
A Closer Look at Knowledge Distillation with Features, Logits, and Gradients Yen-Chang Hsu James Smith Yilin Shen Z. Kira Hongxia Jin 11 7 0 18 Mar 2022
Continual Learning Based on OOD Detection and Task Masking Gyuhak Kim Sepideh Esmaeilpour Changnan Xiao Bing-Quan Liu OODD CLL 22 17 0 17 Mar 2022
Detecting and Learning the Unknown in Semantic Segmentation Robin Shing Moon Chan Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk UQCV 17 5 0 17 Feb 2022
Diagnosing Batch Normalization in Class Incremental Learning Minghao Zhou Quanziang Wang Jun Shu Qian Zhao Deyu Meng CLL 35 6 0 16 Feb 2022
Self-Paced Imbalance Rectification for Class Incremental Learning Zhiheng Liu Kai Zhu Yang Cao CLL 56 0 0 08 Feb 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao SSL CLL 29 6 0 23 Jan 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 39 22 0 21 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 25 33 0 07 Jan 2022
Towards Unsupervised Open World Semantic Segmentation Svenja Uhlemeyer Matthias Rottmann Hanno Gottschalk 23 18 0 04 Jan 2022
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 37 4 0 24 Dec 2021
Improving Vision Transformers for Incremental Learning Pei Yu Yinpeng Chen Ying Jin Zicheng Liu CLL ViT 11 16 0 12 Dec 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning H. Sahbi Haoming Zhan AI4CE 15 1 0 22 Nov 2021
Online Continual Learning Via Candidates Voting Jiangpeng He F. Zhu CLL 26 18 0 17 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector Guoliang Lin Hanlu Chu Hanjiang Lai MoMe CLL 29 43 0 15 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 23 73 0 23 Sep 2021
Prototype-Guided Memory Replay for Continual Learning Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang CLL 8 30 0 28 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
Online Continual Learning For Visual Food Classification Jiangpeng He F. Zhu CLL 21 47 0 15 Aug 2021
Continual Contrastive Learning for Image Classification Zhiwei Lin Yongtao Wang Hongxiang Lin SSL CLL 17 13 0 05 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network Jong-Yeong Kim Dong-Wan Choi CLL 13 25 0 03 Jul 2021
On the importance of cross-task features for class-incremental learning Albin Soutif--Cormerais Marc Masana Joost van de Weijer Bartlomiej Twardowski CLL 22 19 0 22 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 46 161 0 17 Jun 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning Shixiang Tang Dapeng Chen Jinguo Zhu Shijie Yu Wanli Ouyang CLL 14 63 0 17 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 19 20 0 07 May 2021
Unsupervised Continual Learning Via Pseudo Labels Jiangpeng He Feng Zhu SSL CLL 11 25 0 14 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 31 129 0 01 Apr 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 21 180 0 22 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 26 129 0 12 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 174 175 0 02 Mar 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 12 96 0 18 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting V. Kurmi Badri N. Patro Venkatesh Subramanian Vinay P. Namboodiri 34 21 0 03 Feb 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 9 2 0 28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 23 407 0 25 Jan 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer James Smith Jonathan C. Balloch Yen-Chang Hsu Z. Kira CLL 129 35 0 23 Jan 2021