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"

31 / 131 papers shown

Title
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 23 24 0 27 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks Khadija Shaheen Muhammad Abdullah Hanif Osman Hasan Muhammad Shafique CLL 27 91 0 26 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning Yuyang Gao Giorgio Ascoli Liang Zhao 27 4 0 05 May 2021
Unsupervised Class-Incremental Learning Through Confusion Shivam Khare Kun Cao James M. Rehg SSL CLL 24 6 0 09 Apr 2021
Online Learning of a Probabilistic and Adaptive Scene Representation Zike Yan Xin Wang H. Zha 3DPC 3DV 33 3 0 31 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 43 76 0 25 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 37 181 0 22 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
Towards Continual, Online, Self-Supervised Depth Muhammad Umar Karim Khan TTA CLL 33 2 0 28 Feb 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 36 408 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 131 36 0 23 Jan 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 15 21 0 15 Dec 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Meta-Consolidation for Continual Learning K. J. Joseph V. Balasubramanian CLL 22 55 0 01 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 27 101 0 08 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 18 199 0 02 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim Zheda Mai Jihwan Jeong Scott Sanner Hyunwoo J. Kim Jongseong Jang CLL 13 6 0 31 Aug 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 38 63 0 04 Aug 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 29 37 0 09 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning Chih-Hsing Ho Shang-Ho S. Tsai CLL 21 0 0 03 Jul 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry Clément Moulin-Frier Pierre-Yves Oudeyer 12 23 0 02 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning Hanbin Zhao Yongjian Fu Mintong Kang Qi Tian Fei Wu Xi Li CLL 31 98 0 28 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning Xisen Jin Arka Sadhu Junyi Du Xiang Ren CLL KELM BDL 28 96 0 27 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 28 34 0 19 Jun 2020
DrNAS: Dirichlet Neural Architecture Search Xiangning Chen Ruochen Wang Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh OOD 10 98 0 18 Jun 2020
Unifying Regularisation Methods for Continual Learning Frederik Benzing CLL 18 8 0 11 Jun 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta Kevin J Liang Vinay K Verma Lawrence Carin CLL 28 5 0 21 Apr 2020
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler Vu Nguyen S. Zohren Stephen J. Roberts BDL 16 23 0 04 Dec 2019
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 30 114 0 14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 422 11,715 0 09 Mar 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016