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Meta Networks

Meta Networks

2 March 2017
Tsendsuren Munkhdalai
Hong-ye Yu
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Meta Networks"

50 / 181 papers shown
Title
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
Xin Wang
Ling Feng
Huijun Zhang
Lei Cao
Kaisheng Zeng
Qi Li
Yang Ding
Yi Dai
David A. Clifton
36
0
0
03 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Renye Zhang
Yimin Yin
Jinghua Zhang
CLL
59
0
0
29 Apr 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yuqing Yang
Xiao Lin
Zhipeng Zhao
SSL
89
9
0
28 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
87
3
0
17 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Han Liu
Yinwei Wei
Fan Liu
Wei Wang
Liqiang Nie
Tat-Seng Chua
56
17
0
13 Jan 2025
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
Charilaos Papaioannou
Emmanouil Benetos
Alexandros Potamianos
36
0
0
17 Sep 2024
Large Margin Prototypical Network for Few-shot Relation Classification
  with Fine-grained Features
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
M. Fan
Yeqi Bai
Mingming Sun
Ping Li
36
32
0
06 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti
Martin Jaggi
30
1
0
05 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
77
7
0
28 Jul 2024
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
36
5
0
13 Oct 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
45
9
0
26 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu
Conghui Hu
Na Zhao
Gim Hee Lee
3DPC
25
6
0
20 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with
  Expert Guidance
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance
Qisen Yang
Shenzhi Wang
Qihang Zhang
Gao Huang
Shiji Song
OffRL
OnRL
26
8
0
04 Sep 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
29
70
0
10 Jul 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
49
7
0
28 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
21
6
0
27 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Haoyu Wang
Guansong Pang
Peng Wang
Lei Zhang
Wei Wei
Yanning Zhang
24
12
0
24 Apr 2023
Meta Learning to Bridge Vision and Language Models for Multimodal
  Few-Shot Learning
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska
Xiantong Zhen
M. Worring
VLM
21
18
0
28 Feb 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding
Analyzing Populations of Neural Networks via Dynamical Model Embedding
Jordan S. Cotler
Kai Sheng Tai
Felipe Hernández
Blake Elias
David Sussillo
17
4
0
27 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
55
8
0
23 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named
  Entity Recognition
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Chengcheng Han
Renyu Zhu
Jun Kuang
Feng-Xiang Chen
Xiang Li
Ming Gao
Xuezhi Cao
Wei Wu
36
5
0
14 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
31
7
0
12 Feb 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Meta Temporal Point Processes
Meta Temporal Point Processes
Wonho Bae
Mohamed Osama Ahmed
Frederick Tung
Gabriel L. Oliveira
AI4TS
27
18
0
27 Jan 2023
Cross-Domain Few-Shot Relation Extraction via Representation Learning
  and Domain Adaptation
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
29
1
0
05 Dec 2022
Meta-Learning Fast Weight Language Models
Meta-Learning Fast Weight Language Models
Kevin Clark
Kelvin Guu
Ming-Wei Chang
Panupong Pasupat
Geoffrey E. Hinton
Mohammad Norouzi
KELM
32
13
0
05 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
30
0
0
02 Dec 2022
Adaptive Prototypical Networks
Adaptive Prototypical Networks
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
26
2
0
22 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
31
8
0
10 Nov 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
27
30
0
20 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
16
1
0
12 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
34
3
0
05 Oct 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination
MAC: A Meta-Learning Approach for Feature Learning and Recombination
S. Tiwari
M. Gogoi
S. Verma
K. P. Singh
CLL
37
1
0
20 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Mengting Hu
H. Gao
Yinhao Bai
Mingming Liu
8
0
0
14 Sep 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
43
18
0
17 Aug 2022
A Sequence Tagging based Framework for Few-Shot Relation Extraction
A Sequence Tagging based Framework for Few-Shot Relation Extraction
Xukun Luo
Ping Wang
ViT
3DV
30
0
0
17 Aug 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Tao Zhang
Wu Huang
21
13
0
24 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies
  in Stochastic Environments
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
Bastian Alt
Darko Katic
Rainer Jäkel
Michael Beetz
23
6
0
15 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators
MetaAge: Meta-Learning Personalized Age Estimators
Wanhua Li
Jiwen Lu
Abudukelimu Wuerkaixi
Jianjiang Feng
Jie Zhou
13
8
0
12 Jul 2022
Few-shot Learning with Noisy Labels
Few-shot Learning with Noisy Labels
Kevin J Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
24
47
0
12 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
26
7
0
07 Apr 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
34
37
0
04 Apr 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic
  descriptions, and Conceptual Relations
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
Lingjie Mei
Jiayuan Mao
Ziqi Wang
Chuang Gan
J. Tenenbaum
VLM
27
21
0
30 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Jaeyoo Park
Junha Kim
Bohyung Han
OffRL
21
5
0
25 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
36
157
0
07 Mar 2022
Distribution Embedding Networks for Generalization from a Diverse Set of
  Classification Tasks
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu
M. M. Fard
Sen Zhao
OOD
28
3
0
04 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz
Isabelle M Guyon
Zhengying Liu
J. V. Rijn
Sébastien Treguer
Joaquin Vanschoren
20
7
0
01 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
38
37
0
24 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
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