Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

20 May 2018

Papers citing "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"

50 / 216 papers shown

Title
Continual Learning with Low Rank Adaptation Martin Wistuba Prabhu Teja Sivaprasad Lukas Balles Giovanni Zappella CLL 36 12 0 29 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 45 11 0 09 Nov 2023
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation Chengwei Qin Junwon Lee Shafiq Joty CLL 48 12 0 15 Oct 2023
Towards guarantees for parameter isolation in continual learning Giulia Lanzillotta Sidak Pal Singh Benjamin Grewe Thomas Hofmann 35 0 0 02 Oct 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning Kamil Ksiazek Przemysław Spurek CLL 40 5 0 29 Sep 2023
Mitigating the Alignment Tax of RLHF Yong Lin Hangyu Lin Wei Xiong Shizhe Diao Zeming Zheng ... Han Zhao Nan Jiang Heng Ji Yuan Yao Tong Zhang MoMe CLL 31 69 0 12 Sep 2023
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence Liyuan Wang Xingxing Zhang Qian Li Mingtian Zhang Hang Su Jun Zhu Yi Zhong 39 50 0 29 Aug 2023
Towards Accelerated Model Training via Bayesian Data Selection Zhijie Deng Peng Cui Jun Zhu 24 4 0 21 Aug 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory Nick Alonso J. Krichmar 37 3 0 27 Jul 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning Tianlin Liu Stefano Soatto LRM MoMe CLL 27 16 0 16 Jul 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus Jongseok Lee Daniel Cremers Rudolph Triebel UQCV BDL 43 1 0 15 Jul 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations Wyatt Bridgman Reese E. Jones Mohammad Khalil 34 1 0 12 Jul 2023
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training Z. Chen Mingyu Ding Songlin Yang Wei Zhan Masayoshi Tomizuka Erik Learned-Miller Chuang Gan MoE 32 8 0 29 Jun 2023
Learnability and Algorithm for Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Bin Liu CLL 45 24 0 22 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita Masanori Yamada Takashi Shibata MU 21 1 0 09 Jun 2023
Overcoming the Stability Gap in Continual Learning Md Yousuf Harun Christopher Kanan AI4CE 45 11 0 02 Jun 2023
Low-rank extended Kalman filtering for online learning of neural networks from streaming data Peter Chang Gerardo Duran-Martín Alexander Y. Shestopaloff Matt Jones Kevin P. Murphy BDL 46 17 0 31 May 2023
Domain Incremental Lifelong Learning in an Open World Yinpei Dai Hao Lang Yinhe Zheng Yu Bowen Fei Huang Yongbin Li CLL 37 5 0 11 May 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning Zifeng Wang Zheng Zhan Yifan Gong Yucai Shao Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 60 11 0 30 Apr 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 112 26 0 29 Apr 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 44 1 0 24 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Ronald Kemker Christopher Kanan CLL 58 20 0 19 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning Haoran Li Jingfeng Wu Vladimir Braverman CLL 36 9 0 17 Mar 2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo Umais Zahid Qinghai Guo Karl J. Friston Zafeirios Fountas 24 3 0 09 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 27 19 0 26 Feb 2023
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 19 8 0 24 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 38 9 0 16 Feb 2023
Efficient Parametric Approximations of Neural Network Function Space Distance Nikita Dhawan Sicong Huang Juhan Bae Roger C. Grosse 16 5 0 07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 65 616 0 31 Jan 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 29 9 0 12 Jan 2023
Explaining Deep Models through Forgettable Learning Dynamics Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib FAtt 14 9 0 10 Jan 2023
Latent Spectral Regularization for Continual Learning Emanuele Frascaroli Riccardo Benaglia Matteo Boschini Luca Moschella Cosimo Fiorini Emanuele Rodolà Simone Calderara BDL CLL 37 3 0 09 Jan 2023
On Sequential Bayesian Inference for Continual Learning Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 64 6 0 04 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 38 5 0 31 Dec 2022
Sparse Coding in a Dual Memory System for Lifelong Learning F. Sarfraz Elahe Arani Bahram Zonooz CLL 29 20 0 28 Dec 2022
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes P. Johnston Keiller Nogueira Kevin Swingler CLL 10 2 0 01 Dec 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 23 2 0 09 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 27 71 0 04 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 21 4 0 04 Nov 2022
HesScale: Scalable Computation of Hessian Diagonals Mohamed Elsayed A. R. Mahmood 22 8 0 20 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 29 28 0 12 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 26 45 0 12 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 23 0 0 12 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 33 2 0 03 Oct 2022
Continuous QA Learning with Structured Prompts Yinhe Zheng CLL 35 1 0 31 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge Xiaofan Yu Yunhui Guo Sicun Gao Tajana Simunic CLL SSL 36 16 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 25 29 0 20 Aug 2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning Hyounguk Shon Janghyeon Lee Seungwook Kim Junmo Kim CLL 37 11 0 17 Aug 2022
On the Limitations of Continual Learning for Malware Classification Mohammad Saidur Rahman Scott E. Coull M. Wright 34 13 0 13 Aug 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 37 27 0 15 Jul 2022