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Meta-Learning in Neural Networks: A Survey

Meta-Learning in Neural Networks: A Survey

11 April 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
    OOD
ArXivPDFHTML

Papers citing "Meta-Learning in Neural Networks: A Survey"

50 / 832 papers shown
Title
Robust Meta Learning for Image based tasks
Robust Meta Learning for Image based tasks
Peng-Tao Jiang
Xin Ke
Zifeng Wang
Chunxi Li
OOD
UQCV
VLM
60
0
0
30 Jan 2023
Zero-shot causal learning
Zero-shot causal learning
H. Nilforoshan
Michael Moor
Yusuf Roohani
Yining Chen
Anja vSurina
Michihiro Yasunaga
Sara Oblak
J. Leskovec
CML
BDL
OffRL
24
11
0
28 Jan 2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
Lu Zhang
Huaiqian You
T. Gao
Mo Yu
Chung-Hao Lee
Yue Yu
AI4CE
36
9
0
28 Jan 2023
Projected Subnetworks Scale Adaptation
Projected Subnetworks Scale Adaptation
Siddhartha Datta
N. Shadbolt
VLM
CLL
28
0
0
27 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization
Invariant Meta Learning for Out-of-Distribution Generalization
Peng-Tao Jiang
Ke Xin
Zifeng Wang
Chunxi Li
OOD
OODD
20
2
0
26 Jan 2023
Learning to View: Decision Transformers for Active Object Detection
Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding
Nathalie Majcherczyk
Mohit Deshpande
Xuewei Qi
Ding Zhao
R. Madhivanan
Arnie Sen
OffRL
22
12
0
23 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DV
AI4CE
34
130
0
20 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
Universal Neural-Cracking-Machines: Self-Configurable Password Models
  from Auxiliary Data
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
Dario Pasquini
G. Ateniese
Carmela Troncoso
FedML
24
4
0
18 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
33
5
0
18 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau
  Envelopes
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes
Konstantin Mishchenko
Slavomír Hanzely
Peter Richtárik
FedML
32
5
0
17 Jan 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning
  in Financial Markets
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun
Molei Qin
Xinrun Wang
Bo An
FaML
OffRL
AIFin
27
4
0
14 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
36
88
0
13 Jan 2023
Thompson Sampling with Diffusion Generative Prior
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh
S. Kasiviswanathan
B. Kveton
Patrick Blobaum
DiffM
29
7
0
12 Jan 2023
Optimistic Meta-Gradients
Optimistic Meta-Gradients
Sebastian Flennerhag
Tom Zahavy
Brendan O'Donoghue
Hado van Hasselt
András Gyorgy
Satinder Singh
45
3
0
09 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
31
5
0
02 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness
  Results and Improved Analysis
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
Le‐Yu Chen
Jing Xu
J.N. Zhang
31
11
0
02 Jan 2023
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality
  Hybrid
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
Zhuo Chen
Jiaoyan Chen
Wen Zhang
Lingbing Guo
Yin Fang
...
Yichi Zhang
Yuxia Geng
Jeff Z. Pan
Wenting Song
Hua-zeng Chen
56
50
0
29 Dec 2022
Learning to Detect Noisy Labels Using Model-Based Features
Learning to Detect Noisy Labels Using Model-Based Features
Zhihao Wang
Zongyu Lin
Peiqi Liu
Guidong Zheng
Jun-Hao Wen
Xianxin Chen
Yujun Chen
Zhilin Yang
NoLa
14
3
0
28 Dec 2022
Structural State Translation: Condition Transfer between Civil
  Structures Using Domain-Generalization for Structural Health Monitoring
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring
Furkan Luleci
F. Catbas
27
2
0
28 Dec 2022
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Evelyn A. Stump
Francesco Luzi
L. Collins
Jordan M. Malof
26
1
0
24 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
30
17
0
23 Dec 2022
Deep Unfolding-based Weighted Averaging for Federated Learning in
  Heterogeneous Environments
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments
Ayano Nakai-Kasai
T. Wadayama
FedML
27
0
0
23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
38
3
0
22 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Royson Lee
Rui Li
Stylianos I. Venieris
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
SupR
11
5
0
15 Dec 2022
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Abhishek Aich
Kuan-Chuan Peng
A. Roy-Chowdhury
29
24
0
14 Dec 2022
Accelerating Dataset Distillation via Model Augmentation
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo Zhao
Caiwen Ding
Heng Chang
Dongkuan Xu
DD
43
62
0
12 Dec 2022
Learn to Explore: on Bootstrapping Interactive Data Exploration with
  Meta-learning
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
Yukun Cao
Xike Xie
Kexin Huang
31
4
0
07 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo
Matías Mendieta
Cheng Chen
Shan-Jyun Wu
FedML
35
9
0
02 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya
Elad Venezian
Colin Raffel
Noam Slonim
Yoav Katz
Leshem Choshen
MoMe
28
52
0
02 Dec 2022
On Solution Functions of Optimization: Universal Approximation and
  Covering Number Bounds
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
Ming Jin
Vanshaj Khattar
Harshal D. Kaushik
Bilgehan Sel
R. Jia
24
8
0
02 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via
  Meta Learning
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song
Hawoong Jeong
OOD
AI4CE
24
1
0
02 Dec 2022
Learning to Optimize with Dynamic Mode Decomposition
Learning to Optimize with Dynamic Mode Decomposition
Petr Simánek
Daniel Vasata
Pavel Kordík
31
5
0
29 Nov 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
  Few-shot Image Classification
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
35
43
0
28 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and
  Identifiability in Multi-Task Learning
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sébastien Lachapelle
T. Deleu
Divyat Mahajan
Ioannis Mitliagkas
Yoshua Bengio
Simon Lacoste-Julien
Quentin Bertrand
31
32
0
26 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction
Tianyi Wang
Jianwei Wang
Ziqian Zeng
32
2
0
25 Nov 2022
Inversion of sea surface currents from satellite-derived SST-SSH
  synergies with 4DVarNets
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets
Ronan Fablet
Bertrand Chapron
Julien Le Sommer
Florian Sévellec
AI4Cl
22
9
0
23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
24
3
0
23 Nov 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning
  Iterative Algorithms
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Danimir T. Doncevic
Alexander Mitsos
Yu Guo
Qianxiao Li
Felix Dietrich
Manuel Dahmen
Ioannis G. Kevrekidis
21
7
0
22 Nov 2022
Neural Meta-Symbolic Reasoning and Learning
Neural Meta-Symbolic Reasoning and Learning
Zihan Ye
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
NAI
LRM
23
1
0
21 Nov 2022
Challenges in creative generative models for music: a divergence
  maximization perspective
Challenges in creative generative models for music: a divergence maximization perspective
Axel Chemla-Romeu-Santos
P. Esling
18
4
0
16 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
39
17
0
15 Nov 2022
Artificial intelligence approaches for materials-by-design of energetic
  materials: state-of-the-art, challenges, and future directions
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Joseph B. Choi
Phong C. H. Nguyen
O. Sen
H. Udaykumar
Stephen Seung-Yeob Baek
PINN
AI4CE
29
11
0
15 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
Simple Primitives with Feasibility- and Contextuality-Dependence for
  Open-World Compositional Zero-shot Learning
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
Zhe Liu
Yun Yvonna Li
Lina Yao
Xiaojun Chang
Wei Fang
Xiaojun Wu
Yi Yang
CoGe
29
1
0
05 Nov 2022
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems
  in Dynamic Environments
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments
Ke Li
Renzhi Chen
Xin Yao
40
14
0
05 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process
  Diffusion
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
Marin Bilos
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
Stephan Günnemann
DiffM
27
32
0
04 Nov 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in
  CTR Prediction
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction
Yanyan Shen
Lifan Zhao
Weiyu Cheng
Zibin Zhang
Wenwen Zhou
Kangyi Lin
34
5
0
28 Oct 2022
A Survey on Causal Representation Learning and Future Work for Medical
  Image Analysis
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Chang-Tien Lu
OOD
BDL
CML
MedIm
26
0
0
28 Oct 2022
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