ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.02999
  4. Cited By
On First-Order Meta-Learning Algorithms

On First-Order Meta-Learning Algorithms

8 March 2018
Alex Nichol
Joshua Achiam
John Schulman
ArXivPDFHTML

Papers citing "On First-Order Meta-Learning Algorithms"

50 / 1,159 papers shown
Title
Characterizing Policy Divergence for Personalized Meta-Reinforcement
  Learning
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning
Michael Zhang
12
0
0
09 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic
  Parsing
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen
Asish Ghoshal
Yashar Mehdad
Luke Zettlemoyer
S. Gupta
43
89
0
07 Oct 2020
A Survey of Deep Meta-Learning
A Survey of Deep Meta-Learning
Mike Huisman
Jan N. van Rijn
Aske Plaat
25
329
0
07 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning
Dif-MAML: Decentralized Multi-Agent Meta-Learning
Mert Kayaalp
Stefan Vlaski
Ali H. Sayed
20
28
0
06 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning Theory
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
45
10
0
05 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance
  Metric Learning and Behavior Regularization
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li
Rui Yang
Dijun Luo
OffRL
33
10
0
02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
Fast Few-Shot Classification by Few-Iteration Meta-Learning
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
37
6
0
01 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency
  Regularization
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen
Yun Ma
Tom Ko
Jianping Wang
Qing Li
VLM
28
8
0
29 Sep 2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene
  classification
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Haifeng Li
Zhenqi Cui
Zhiqiang Zhu
L. Chen
Jiawei Zhu
Haozhe Huang
Chao Tao
31
91
0
28 Sep 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta
  Learning
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning
Yaohua Liu
Risheng Liu
29
10
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
12
255
0
27 Sep 2020
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task
  Generalization in Few-shot Learning
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Henry Kvinge
Zach New
Nico Courts
J. H. Lee
Lauren A. Phillips
Court D. Corley
Aaron Tuor
Andrew Avila
Nathan Oken Hodas
20
2
0
23 Sep 2020
Tasks, stability, architecture, and compute: Training more effective
  learned optimizers, and using them to train themselves
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Luke Metz
Niru Maheswaranathan
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
37
62
0
23 Sep 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Andrea Passerini
CLL
SSL
33
8
0
17 Sep 2020
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial
  Control Systems
DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems
Maged AbdelAty
Roberto Doriguzzi-Corin
Domenico Siracusa
25
41
0
14 Sep 2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules
Few-shot Learning with LSSVM Base Learner and Transductive Modules
Haoqing Wang
Zhihong Deng
14
1
0
12 Sep 2020
Heterogeneous Domain Generalization via Domain Mixup
Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang
Haoliang Li
Alex C. Kot
OOD
19
143
0
11 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language
  Learning
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
KELM
CLL
22
21
0
10 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot
  Recognition
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
Siteng Huang
Min Zhang
Yachen Kang
Donglin Wang
14
41
0
10 Sep 2020
Proxy Network for Few Shot Learning
Proxy Network for Few Shot Learning
Bin Xiao
Chien-Liang Liu
W. Hsaio
20
5
0
09 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes
Information Theoretic Meta Learning with Gaussian Processes
Michalis K. Titsias
Francisco J. R. Ruiz
Sotirios Nikoloutsopoulos
Alexandre Galashov
FedML
41
15
0
07 Sep 2020
Class Interference Regularization
Class Interference Regularization
Bharti Munjal
S. Amin
Fabio Galasso
24
0
0
04 Sep 2020
Multimodal Aggregation Approach for Memory Vision-Voice Indoor
  Navigation with Meta-Learning
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
Liqi Yan
Dongfang Liu
Yaoxian Song
Changbin (Brad) Yu
27
14
0
01 Sep 2020
Transductive Information Maximization For Few-Shot Learning
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
25
77
0
25 Aug 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and
  Fine-Tuning
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
39
39
0
25 Aug 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
50
81
0
25 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh
Hyungjun Yoo
ChangHwan Kim
Seyoung Yun
16
9
0
20 Aug 2020
Query Twice: Dual Mixture Attention Meta Learning for Video
  Summarization
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Junyan Wang
Yang Bai
Yang Long
Bingzhang Hu
Z. Chai
Yu Guan
Xiaolin K. Wei
EgoV
26
15
0
19 Aug 2020
Efficient hyperparameter optimization by way of PAC-Bayes bound
  minimization
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
John J. Cherian
Andrew G. Taube
R. McGibbon
Panagiotis Angelikopoulos
Guy Blanc
M. Snarski
D. D. Richman
J. L. Klepeis
D. Shaw
12
6
0
14 Aug 2020
Learning to See Through Obstructions with Layered Decomposition
Learning to See Through Obstructions with Layered Decomposition
Yu-Lun Liu
Wei-Sheng Lai
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
18
18
0
11 Aug 2020
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Jiacheng Li
Siliang Tang
Juncheng Li
Jun Xiao
Fei Wu
Shiliang Pu
Yueting Zhuang
VGen
16
15
0
11 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
21
35
0
10 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor
  Data
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
AI4TS
19
3
0
05 Aug 2020
Fast Adaptive Task Offloading in Edge Computing based on Meta
  Reinforcement Learning
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang
Jia Hu
Geyong Min
Albert Y. Zomaya
N. Georgalas
OffRL
38
253
0
05 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Weijie Zhao
Chenghan Fu
Liqing Zhang
GAN
51
87
0
05 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
38
125
0
05 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Atmadeep Banerjee
SSeg
VLM
18
5
0
01 Aug 2020
Learning to Learn to Compress
Learning to Learn to Compress
Nannan Zou
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
J. Lainema
M. Hannuksela
Emre B. Aksu
Esa Rahtu
12
0
0
31 Jul 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
33
11
0
30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations
Meta-Learning with Context-Agnostic Initialisations
Toby Perrett
A. Masullo
T. Burghardt
Majid Mirmehdi
Dima Damen
CLL
22
2
0
29 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLL
VLM
43
68
0
27 Jul 2020
Neural networks with late-phase weights
Neural networks with late-phase weights
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
37
34
0
25 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
One-Shot Learning for Language Modelling
One-Shot Learning for Language Modelling
Talip Uçar
Adrián González-Martín
Matthew Lee
Adrian Daniel Szwarc
17
2
0
19 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey
Meta-learning for Few-shot Natural Language Processing: A Survey
Wenpeng Yin
26
77
0
19 Jul 2020
Discovering Reinforcement Learning Algorithms
Discovering Reinforcement Learning Algorithms
Junhyuk Oh
Matteo Hessel
Wojciech M. Czarnecki
Zhongwen Xu
H. V. Hasselt
Satinder Singh
David Silver
29
126
0
17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
39
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-Learning
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
45
54
0
17 Jul 2020
Collision Avoidance Robotics Via Meta-Learning (CARML)
Collision Avoidance Robotics Via Meta-Learning (CARML)
A. Iyer
Aravind Mahadevan
12
3
0
16 Jul 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu
H. V. Hasselt
Matteo Hessel
Junhyuk Oh
Satinder Singh
David Silver
27
77
0
16 Jul 2020
Previous
123...171819...222324
Next