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Continuous Meta-Learning without Tasks

Continuous Meta-Learning without Tasks

18 December 2019
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
    CLL
    OOD
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Papers citing "Continuous Meta-Learning without Tasks"

16 / 16 papers shown
Title
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
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
39
0
0
23 Apr 2025
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
23
2
0
16 Oct 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
N. V. Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
29
10
0
21 Sep 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren
Tianxiang Zhao
Wei Qin
Kunpeng Liu
TTA
AI4TS
19
5
0
05 Sep 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
47
7
0
28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
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
Time-Varying Propensity Score to Bridge the Gap between the Past and
  Present
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
A Closer Look at Learned Optimization: Stability, Robustness, and
  Inductive Biases
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison
Luke Metz
Jascha Narain Sohl-Dickstein
44
22
0
22 Sep 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
G. Konidaris
24
6
0
07 Jun 2022
Learning Mixtures of Linear Dynamical Systems
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen
H. Vincent Poor
18
17
0
26 Jan 2022
CoMPS: Continual Meta Policy Search
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
21
16
0
08 Dec 2021
Bayesian Embeddings for Few-Shot Open World Recognition
Bayesian Embeddings for Few-Shot Open World Recognition
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDL
OffRL
20
18
0
29 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
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
Detecting and Adapting to Irregular Distribution Shifts in Bayesian
  Online Learning
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
13
21
0
15 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
Recurrent switching linear dynamical systems
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
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