Measuring Catastrophic Forgetting in Neural Networks

7 August 2017

Papers citing "Measuring Catastrophic Forgetting in Neural Networks"

50 / 137 papers shown

Title
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain Markus Bayer Philip D. . Kuehn Ramin Shanehsaz Christian A. Reuter 17 43 0 06 Dec 2022
Overcoming Catastrophic Forgetting by XAI Giang Nguyen 20 0 0 25 Nov 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 35 113 0 23 Nov 2022
Teaching Structured Vision&Language Concepts to Vision&Language Models Sivan Doveh Assaf Arbelle Sivan Harary Yikang Shen Roei Herzig ... Donghyun Kim Raja Giryes Rogerio Feris S. Ullman Leonid Karlinsky VLM CoGe 61 71 0 21 Nov 2022
A Survey of Knowledge Enhanced Pre-trained Language Models Linmei Hu Zeyi Liu Ziwang Zhao Lei Hou Liqiang Nie Juanzi Li KELM VLM 31 124 0 11 Nov 2022
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening Kang Li Lequan Yu Pheng-Ann Heng CLL 31 23 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 28 2 0 09 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 41 2 0 08 Nov 2022
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields Paraskevi Nousi Emmanouil Mpampis Nikolaos Passalis Ole Green Anastasios Tefas 25 0 0 27 Sep 2022
ATLAS: Universal Function Approximator for Memory Retention H. V. Deventer Anna Sergeevna Bosman 35 0 0 10 Aug 2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning Chunwei Ma Zhanghexuan Ji Ziyun Huang Yan Shen Mingchen Gao Jinhui Xu 38 1 0 28 Jul 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 80 102 0 30 Jun 2022
TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning Jinlin Xiang Eli Shlizerman CLL 21 8 0 17 Jun 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 53 17 0 26 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 36 8 0 22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 52 4 0 19 May 2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization Arthur Bravzinskas Ramesh Nallapati Joey Tianyi Zhou Markus Dreyer 19 24 0 04 May 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 34 1 0 30 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 28 60 0 31 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks Rebecca Adaimi Edison Thomaz CLL 29 13 0 11 Mar 2022
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 22 14 0 01 Feb 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 39 59 0 23 Dec 2021
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases Qing Lyu Hua Zheng Daoxin Li Li Zhang Marianna Apidianaki Chris Callison-Burch 29 4 0 15 Dec 2021
Provable Continual Learning via Sketched Jacobian Approximations Reinhard Heckel CLL 20 9 0 09 Dec 2021
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 25 5 0 07 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 18 9 0 10 Nov 2021
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications Young D. Kwon Jagmohan Chauhan Abhishek Kumar Pan Hui Cecilia Mascolo CLL HAI 33 32 0 25 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models Zongze Wu Yotam Nitzan Eli Shechtman Dani Lischinski 27 56 0 21 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting Samuel J. Bell Neil D. Lawrence 37 4 0 20 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 29 35 0 07 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 77 44 0 01 Oct 2021
RuleBert: Teaching Soft Rules to Pre-trained Language Models Mohammed Saeed N. Ahmadi Preslav Nakov Paolo Papotti LRM 261 32 0 24 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 38 33 0 15 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning Changhong Zhong Z. Cui Ruixuan Wang Weishi Zheng 23 1 0 11 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation Minhan Kim Shahroz Tariq Simon S. Woo CLL 37 49 0 06 Jul 2021
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment G. Tahir C. K. Loo 19 60 0 21 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 65 162 0 17 Jun 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications Young D. Kwon Jagmohan Chauhan Cecilia Mascolo HAI 27 16 0 14 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning Minhan Kim Shahroz Tariq Simon S. Woo 36 86 0 28 May 2021
How saccadic vision might help with theinterpretability of deep networks Iana Sereda Grigory V. Osipov FAtt 33 0 0 27 May 2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning Manvel Avetisian I. Burenko K. Egorov V. Kokh A. Nesterov A. Nikolaev Alexander Ponomarchuk Elena Sokolova Alexander Tuzhilin Dmitry Umerenkov OOD 34 5 0 25 May 2021
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework Shahroz Tariq Sangyup Lee Simon S. Woo AAML 27 70 0 01 May 2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift Lukasz Korycki Bartosz Krawczyk 23 31 0 24 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis Saurav Jha Martin Schiemer F. Zambonelli Juan Ye 23 48 0 19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay Benedikt Pfülb A. Gepperth VLM BDL 32 12 0 19 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 52 130 0 01 Apr 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations Umberto Michieli Pietro Zanuttigh CLL 43 138 0 10 Mar 2021