How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
Continual Learning and Functional Composition

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition

15 July 2022

Jorge Armando Mendez Mendez

Papers citing "How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition"

18 / 18 papers shown

Title
Neural network task specialization via domain constraining Roman Malashin Daniil Ilyukhin 49 0 0 28 Apr 2025
Compositional Instruction Following with Language Models and Reinforcement Learning Vanya Cohen Geraud Nangue Tasse N. Gopalan Steven D. James Matthew C. Gombolay Ray Mooney Benjamin Rosman 71 0 0 21 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 72 1 0 03 Jan 2025
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare Chia-Hao Li N. Jha MedIm 35 0 0 13 Mar 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 29 5 0 13 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 27 16 0 13 Jul 2023
PIVOT: Prompting for Video Continual Learning Andrés Villa Juan Carlos León Alcázar Motasem Alfarra Kumail Alhamoud J. Hurtado Fabian Caba Heilbron Alvaro Soto Bernard Ghanem VLM CLL 40 45 0 09 Dec 2022
Modular Lifelong Reinforcement Learning via Neural Composition Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 70 38 0 01 Jul 2022
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 186 123 0 05 Dec 2021
DualNet: Continual Learning, Fast and Slow Quang-Cuong Pham Chenghao Liu S. Hoi CLL 71 42 0 01 Oct 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning Krishnan Raghavan Prasanna Balaprakash CLL 59 30 0 28 Sep 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 70 38 0 12 Jul 2021
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 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 54 0 01 Mar 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning Ali Ayub Alan R. Wagner CLL 35 59 0 13 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020