Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

5 December 2021

Papers citing "Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning"

22 / 72 papers shown

Title
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL OODD 29 12 0 20 Apr 2023
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers Nithish Muthuchamy Selvaraj Xiaobao Guo A. Kong Bingquan Shen Alex C. Kot CLL 25 8 0 28 Feb 2023
Continual Pre-training of Language Models Zixuan Ke Yijia Shao Haowei Lin Tatsuya Konishi Gyuhak Kim Bin Liu CLL KELM 22 123 0 07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 38 601 0 31 Jan 2023
Adapting a Language Model While Preserving its General Knowledge Zixuan Ke Yijia Shao Haowei Lin Hu Xu Lei Shu Bin Liu KELM CLL VLM 33 20 0 21 Jan 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 23 68 0 23 Nov 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue Ying Zhao Yinhe Zheng Zhiliang Tian Chang Gao Yu Bowen Haiyang Yu Yongbin Li Jianguo Sun N. Zhang CLL OffRL 24 12 0 14 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 24 28 0 12 Oct 2022
Continual Training of Language Models for Few-Shot Learning Zixuan Ke Haowei Lin Yijia Shao Hu Xu Lei Shu Bin Liu KELM BDL CLL 87 34 0 11 Oct 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim Zixuan Ke Bin Liu VLM CLL OODD 17 29 0 20 Aug 2022
A Theory for Knowledge Transfer in Continual Learning Diana Benavides-Prado Patricia J. Riddle CLL 34 13 0 14 Aug 2022
Discrete Key-Value Bottleneck Frederik Trauble Anirudh Goyal Nasim Rahaman Michael C. Mozer Kenji Kawaguchi Yoshua Bengio Bernhard Schölkopf CLL 26 22 0 22 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 29 27 0 15 Jul 2022
Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation Drift Xueying Bai Jinghuan Shang Yifan Sun Niranjan Balasubramanian CLL 35 1 0 24 May 2022
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 181 213 0 20 May 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 30 21 0 17 Mar 2022
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning Yuhui Zuo Wei Zhu Guoyong Cai CLL VLM 14 11 0 16 Mar 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 240 83 0 06 Dec 2021
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning Kamil Deja Pawel Wawrzyñski Wojciech Masarczyk Daniel Marczak Tomasz Trzciñski CLL 21 4 0 23 Jun 2021
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014