Measuring Catastrophic Forgetting in Neural Networks

7 August 2017

Papers citing "Measuring Catastrophic Forgetting in Neural Networks"

37 / 137 papers shown

Title
Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes Christopher Kanan CLL 31 20 0 06 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 847 0 01 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 69 0 22 Feb 2021
Studying Catastrophic Forgetting in Neural Ranking Models Jesús Lovón-Melgarejo Laure Soulier K. Pinel-Sauvagnat L. Tamine CLL 49 13 0 18 Jan 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning Riccardo Volpi Diane Larlus Grégory Rogez VLM OOD CLL 28 74 0 08 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation Lu Yu Xialei Liu Joost van de Weijer CLL SSL 28 54 0 06 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs Nikhil Kapoor C. Yuan Jonas Löhdefink Roland S. Zimmermann Serin Varghese Fabian Hüger Nico M. Schmidt Peter Schlicht Tim Fingscheidt AAML 27 4 0 02 Dec 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 26 215 0 10 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 42 139 0 09 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T. Doan Mehdi Abbana Bennani Bogdan Mazoure Guillaume Rabusseau Pierre Alquier CLL 22 80 0 07 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems Fei Mi Liangwei Chen Mengjie Zhao Minlie Huang Boi Faltings CLL KELM 24 68 0 02 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 49 44 0 11 Aug 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 36 174 0 14 Jul 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 21 219 0 12 Jun 2020
WasteNet: Waste Classification at the Edge for Smart Bins Gary White Christian Cabrera Andrei Palade Fan Li Siobhán Clarke HAI 23 35 0 10 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 85 0 10 Jun 2020
Explaining How Deep Neural Networks Forget by Deep Visualization Giang Nguyen Shuan Chen Tae Joon Jun Daeyoung Kim AAML 16 10 0 03 May 2020
Online Continual Learning on Sequences G. I. Parisi Vincenzo Lomonaco CLL 19 25 0 20 Mar 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation S. Kasaei J. Melsen Floris van Beers Christiaan Steenkist K. Vončina 35 12 0 18 Mar 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 24 277 0 03 Feb 2020
Exploring Benefits of Transfer Learning in Neural Machine Translation Tom Kocmi 35 17 0 06 Jan 2020
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Yue Liu D. Song AAML 27 107 0 17 Nov 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 23 22 0 24 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition Shahram Ghorbani S. Khorram John H. L. Hansen 29 18 0 01 Oct 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco Davide Maltoni Lorenzo Pellegrini CLL VLM 34 67 0 08 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 24 248 0 29 Jun 2019
Continuous Learning for Large-scale Personalized Domain Classification Han Li Jihwan Lee Sidharth Mudgal R. Sarikaya Young-Bum Kim CLL 30 8 0 02 May 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 27 335 0 19 Mar 2019
Answer Them All! Toward Universal Visual Question Answering Models Robik Shrestha Kushal Kafle Christopher Kanan 25 82 0 01 Mar 2019
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow Hsuan-Kung Yang Po-Han Chiang Kuan-Wei Ho Min-Fong Hong Chun-Yi Lee 35 7 0 24 Jan 2019
Memory Efficient Experience Replay for Streaming Learning Tyler L. Hayes N. Cahill Christopher Kanan 15 228 0 16 Sep 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing Dongdong She Kexin Pei Dave Epstein Junfeng Yang Baishakhi Ray Suman Jana 31 185 0 15 Jul 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 25 0 0 30 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 53 475 0 28 Nov 2017