Progress & Compress: A scalable framework for continual learning

16 May 2018

Jonathan Richard Schwarz

Jelena Luketina

Wojciech M. Czarnecki

Papers citing "Progress & Compress: A scalable framework for continual learning"

50 / 195 papers shown

Title
Contrastive Continual Learning with Feature Propagation Xuejun Han Yuhong Guo CLL 26 4 0 03 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 36 76 0 26 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 40 50 0 25 Nov 2021
Continuous learning of spiking networks trained with local rules D. Antonov K. Sviatov S. Sukhov 21 12 0 18 Nov 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines Xuejing Zheng Chao Yu Chong Chen Jianye Hao H. Zhuo CLL OffRL 17 9 0 18 Nov 2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking Denis Jered McInerney Luyang Kong Kristjan Arumae Byron C. Wallace Parminder Bhatia CLL 24 1 0 11 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 28 32 0 25 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora Xisen Jin Dejiao Zhang Henghui Zhu Wei Xiao Shang-Wen Li Xiaokai Wei Andrew O. Arnold Xiang Ren KELM CLL 31 111 0 16 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 68 112 0 13 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning Li Yang Sen Lin Junshan Zhang Deliang Fan CLL 36 11 0 03 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 92 54 0 01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Unsupervised Continual Learning in Streaming Environments Andri Ashfahani Mahardhika Pratama 14 21 0 20 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 24 14 0 14 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers Zhuang Li Lizhen Qu Gholamreza Haffari CLL 40 15 0 11 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 25 18 0 03 Sep 2021
A good body is all you need: avoiding catastrophic interference via agent architecture search Joshua P. Powers Ryan Grindle Lapo Frati Josh Bongard 17 1 0 18 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 35 40 0 14 Aug 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 52 80 0 13 Aug 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 55 181 0 27 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Natural continual learning: success is a journey, not (just) a destination Ta-Chu Kao Kristopher T. Jensen Gido M. van de Ven A. Bernacchia Guillaume Hennequin CLL 23 46 0 15 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 21 16 0 14 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 19 46 0 05 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 17 89 0 23 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
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay Benedikt Pfülb A. Gepperth VLM BDL 24 12 0 19 Apr 2021
Lifelong Learning with Sketched Structural Regularization Haoran Li A. Krishnan Jingfeng Wu Soheil Kolouri Praveen K. Pilly Vladimir Braverman CLL 30 17 0 17 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Towards Lifelong Learning of End-to-end ASR Heng-Jui Chang Hung-yi Lee Lin-Shan Lee KELM CLL 35 34 0 04 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 33 181 0 01 Apr 2021
iMAP: Implicit Mapping and Positioning in Real-Time Edgar Sucar Shikun Liu Joseph Ortiz Andrew J. Davison 3DH 73 594 0 23 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 36 107 0 12 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
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 68 0 22 Feb 2021
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 24 86 0 19 Feb 2021
Generative Replay-based Continual Zero-Shot Learning C. Gautam S. Parameswaran Ashish Mishra Suresh Sundaram CLL VLM 28 8 0 22 Jan 2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing Benjamin Maschler T. Pham M. Weyrich 38 32 0 02 Jan 2021
Efficient Continual Learning with Modular Networks and Task-Driven Priors Tom Véniat Ludovic Denoyer MarcÁurelio Ranzato CLL 30 97 0 23 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 27 44 0 16 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning Demi Guo Alexander M. Rush Yoon Kim 13 385 0 14 Dec 2020
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 21 0 0 21 Nov 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 37 139 0 09 Oct 2020
Lifelong Language Knowledge Distillation Yung-Sung Chuang Shang-Yu Su Yun-Nung Chen KELM CLL 27 49 0 05 Oct 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 33 9 0 29 Sep 2020