A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

3 January 2020

Papers citing "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning"

50 / 131 papers shown

Title
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 213 0 0 11 Apr 2025
A Proposal for Networks Capable of Continual Learning Zeki Doruk Erden Boi Faltings CLL 56 0 0 28 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling Hanwen Xing Christopher Yau CLL BDL 96 0 0 26 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 162 2 0 10 Mar 2025
Continually Learning Structured Visual Representations via Network Refinement with Rerelation Zeki Doruk Erden Boi Faltings CLL 74 0 0 20 Feb 2025
Hierarchically Gated Experts for Efficient Online Continual Learning Kevin Luong Michael Thielscher CLL OffRL 24 0 0 22 Dec 2024
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation Xiwen Wei Guihong Li R. Marculescu 46 2 0 08 Nov 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node Community Anestis Kaimakamidis Ioannis Mademlis Ioannis Pitas 30 0 0 30 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning Cameron Taylor Vassilis Vassiliades C. Dovrolis CLL 31 0 0 24 Sep 2024
Drift to Remember Jin Du Xinsong Zhang Hao Shen Xun Xian Ganghua Wang Jiawei Zhang Yuhong Yang Na Li Jia Liu Jie Ding CLL 21 0 0 21 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 58 0 0 19 Aug 2024
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams B. Halstead Yun Sing Koh Patricia J. Riddle Mykola Pechenizkiy Albert Bifet TTA AI4TS 40 3 0 18 Aug 2024
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference Qian Liang Yan Chen Yang Hu CLL 52 2 0 19 Jul 2024
Multimodal Prototyping for cancer survival prediction Andrew H. Song Richard J. Chen Guillaume Jaume Anurag J. Vaidya Alexander S. Baras Faisal Mahmood 35 14 0 28 Jun 2024
Continual Traffic Forecasting via Mixture of Experts Sanghyun Lee Chanyoung Park CLL 49 3 0 05 Jun 2024
Forward-Backward Knowledge Distillation for Continual Clustering M. Sadeghi Zihan Wang Narges Armanfard CLL 37 0 0 29 May 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning Songlin Dong Yingjie Chen Yuhang He Yuhan Jin Alex C. Kot Yihong Gong CLL 31 0 0 21 Apr 2024
Adaptive Memory Replay for Continual Learning James Seale Smith Lazar Valkov Shaunak Halbe V. Gutta Rogerio Feris Z. Kira Leonid Karlinsky 44 6 0 18 Apr 2024
On the Convergence of Continual Learning with Adaptive Methods Seung Han Yeon-Jae Kim Taehyun Cho Jungwoo Lee CLL 22 3 0 08 Apr 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 39 48 0 08 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing Xiaofan Yu Anthony Thomas Ivannia Gomez Moreno Louis Gutierrez Tajana Simunic 43 3 0 07 Mar 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 43 0 0 15 Feb 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL J. Obando-Ceron Ghada Sokar Timon Willi Clare Lyle Jesse Farebrother Jakob N. Foerster Gintare Karolina Dziugaite Doina Precup Pablo Samuel Castro 63 31 0 13 Feb 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 47 3 0 12 Jan 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han Zhuo Feng Yue Ning CLL 20 1 0 05 Jan 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 62 23 0 16 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning Soumya Roy Vinay Kumar Verma Deepak Gupta CLL 56 2 0 02 Dec 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning Doyoung Kim Susik Yoon Dongmin Park Youngjun Lee Hwanjun Song Jihwan Bang Jae-Gil Lee VLM 51 3 0 18 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 40 11 0 09 Nov 2023
Recasting Continual Learning as Sequence Modeling Soochan Lee Jaehyeon Son Gunhee Kim CLL 25 9 0 18 Oct 2023
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment Jaewoo Lee Jaehong Yoon Wonjae Kim Yunji Kim Sung Ju Hwang CLL 19 1 0 12 Oct 2023
Design Principles for Lifelong Learning AI Accelerators Dhireesha Kudithipudi Anurag Daram Abdullah M. Zyarah Fatima Tuz Zohora J. Aimone ... Emre Neftci M. Mattina Vincenzo Lomonaco Clare D. Thiem Benjamin Epstein 50 17 0 05 Oct 2023
Person Re-Identification for Robot Person Following with Online Continual Learning Hanjing Ye Jieting Zhao Yu Zhan Weinan Chen Li He Hong Zhang 24 8 0 21 Sep 2023
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification Divakar Bhat Biplab Banerjee S. Chaudhuri A. Bhattacharya CLL 31 0 0 03 Sep 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures Sandeep Madireddy A. Yanguas-Gil Prasanna Balaprakash CLL 26 1 0 08 Aug 2023
Online Prototype Learning for Online Continual Learning Yujie Wei Jiaxin Ye Zhizhong Huang Junping Zhang Hongming Shan CLL OnRL 33 39 0 01 Aug 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory Nick Alonso J. Krichmar 35 3 0 27 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 36 49 0 16 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform Mateusz Wójcik Witold Ko'sciukiewicz Mateusz Baran Tomasz Kajdanowicz Adam Gonczarek CLL 27 1 0 11 Jul 2023
Kalman Filter for Online Classification of Non-Stationary Data Michalis K. Titsias Alexandre Galashov Amal Rannen-Triki Razvan Pascanu Yee Whye Teh J. Bornschein CLL BDL 81 9 0 14 Jun 2023
Overcoming the Stability Gap in Continual Learning Md Yousuf Harun Christopher Kanan AI4CE 42 11 0 02 Jun 2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift Liangxuan Guo Yang Chen Shan Yu OODD CLL 30 2 0 01 Jun 2023
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction Minqian Liu Lifu Huang CLL 15 9 0 26 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 38 8 0 10 May 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 41 7 0 07 May 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 110 26 0 29 Apr 2023
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement Fushuo Huo Wenchao Xu Jingcai Guo Yining Qi Yunfeng Fan Song Guo CLL 71 16 0 20 Mar 2023
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad H. V. Seijen Sarath Chandar CLL KELM 36 2 0 15 Mar 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning Guoqiang Liang Zhaojie Chen Zhaoqiang Chen Shiyu Ji Yanning Zhang CLL 35 11 0 16 Feb 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning Mohamed Elsayed A. R. Mahmood CLL 21 6 0 07 Feb 2023