Continuous Meta-Learning without Tasks

18 December 2019

Papers citing "Continuous Meta-Learning without Tasks"

21 / 21 papers shown

Title
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving Jacob Levy Jason Gibson Bogdan I. Vlahov Erica Tevere Evangelos A. Theodorou David Fridovich-Keil Patrick Spieler 41 0 0 23 Apr 2025
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 31 2 0 16 Oct 2023
Clustering-based Domain-Incremental Learning Christiaan Lamers René Vidal A. Belbachir Niki van Stein Thomas Baeck Paris Giampouras CLL OOD 32 10 0 21 Sep 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data Weijieying Ren Tianxiang Zhao Wei Qin Kunpeng Liu TTA AI4TS 24 5 0 05 Sep 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 49 7 0 28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 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-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 26 11 0 06 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and Present Rasool Fakoor Jonas W. Mueller Zachary Chase Lipton Pratik Chaudhari Alexander J. Smola OOD AI4TS 32 3 0 04 Oct 2022
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning Boris Ivanovic James Harrison Marco Pavone AI4CE 36 27 0 23 Sep 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 47 22 0 22 Sep 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 22 18 0 29 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 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
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 15 21 0 15 Dec 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning Xisen Jin Arka Sadhu Junyi Du Xiang Ren CLL KELM BDL 28 96 0 27 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 36 69 0 26 Oct 2016