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Meta Networks
v1v2 (latest)

Meta Networks

2 March 2017
Tsendsuren Munkhdalai
Hong-ye Yu
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Meta Networks"

50 / 490 papers shown
Title
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
183
5
0
04 Feb 2022
Fully Online Meta-Learning Without Task Boundaries
Fully Online Meta-Learning Without Task Boundaries
Jathushan Rajasegaran
Chesea Finn
Sergey Levine
CLL
104
4
0
01 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
183
7
0
01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationInternational Conference on Machine Learning (ICML), 2022
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
156
5
0
30 Jan 2022
The Effect of Diversity in Meta-Learning
The Effect of Diversity in Meta-LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Ramnath Kumar
T. Deleu
Yoshua Bengio
276
15
0
27 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for
  Task Representation
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationNeural Information Processing Systems (NeurIPS), 2022
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
VLM
123
24
0
27 Jan 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
225
39
0
24 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning
  Approach for Advertiser Modeling
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser ModelingWeb Search and Data Mining (WSDM), 2022
Qianqian Zhang
Xinru Liao
Quanlian Liu
Jian Xu
Bo Zheng
185
74
0
18 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
181
128
0
15 Jan 2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Kowshik Thopalli
Jayaraman J. Thiagarajan
Rushil Anirudh
Pavan Turaga
115
0
0
05 Jan 2022
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale
  Recommendation Scenarios
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation ScenariosAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Luping Wang
Hong Wen
Chengjun Mao
Bo Cao
131
9
0
27 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLMBDL
299
21
0
15 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas Guibas
OCL
115
1
0
15 Dec 2021
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
215
44
0
14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
92
70
0
13 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its
  applications on real-world medical records
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Tianyi Zhang
Shirui Zhang
Ziwei Chen
Dianbo Liu
FedML
147
6
0
10 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Su Zhu
Lu Chen
Ruisheng Cao
Zhi Chen
Qingliang Miao
Kai Yu
145
2
0
09 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for
  Few-shot Video Classification
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
Rex Liu
Huan Zhang
Hamed Pirsiavash
Xin Liu
ViT
244
16
0
08 Dec 2021
Curriculum Meta-Learning for Few-shot Classification
Curriculum Meta-Learning for Few-shot Classification
Emmanouil Stergiadis
Priyanka Agrawal
Oliver Squire
VLM
186
5
0
06 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
Bowen Hao
Hongzhi Yin
Jing Zhang
Cuiping Li
Hong Chen
234
27
0
04 Dec 2021
Camera Distortion-aware 3D Human Pose Estimation in Video with
  Optimization-based Meta-Learning
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
Hanbyel Cho
Yooshin Cho
Jaemyung Yu
Junmo Kim
3DH
117
18
0
30 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images
One-shot Weakly-Supervised Segmentation in Medical Images
Wenhui Lei
Q. Su
Ran Gu
Na Wang
Xinglong Liu
Guotai Wang
Xiaofan Zhang
Shaoting Zhang
183
2
0
21 Nov 2021
Generating meta-learning tasks to evolve parametric loss for
  classification learning
Generating meta-learning tasks to evolve parametric loss for classification learning
Zhaoyang Hai
Xiabi Liu
Yuchen Ren
N. Q. Soomro
69
0
0
20 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language
  Understanding
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
Qianying Liu
Fei Cheng
Sadao Kurohashi
110
1
0
10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated LearningIEEE Access (IEEE Access), 2021
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
Chinedum Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
256
57
0
09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
135
12
0
09 Nov 2021
MetaMIML: Meta Multi-Instance Multi-Label Learning
MetaMIML: Meta Multi-Instance Multi-Label Learning
Yuanlin Yang
Guoxian Yu
Jun Wang
Lei Liu
C. Domeniconi
Maozu Guo
VLM
107
0
0
07 Nov 2021
Meta Cross-Modal Hashing on Long-Tailed Data
Meta Cross-Modal Hashing on Long-Tailed Data
Runmin Wang
Guoxian Yu
C. Domeniconi
Xiangliang Zhang
161
4
0
07 Nov 2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Guangyang Han
Guoxian Yu
Li-zhen Cui
C. Domeniconi
Xiangliang Zhang
OffRL
114
0
0
07 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
211
19
0
30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human
  Activity Recognition
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity RecognitionACM International Conference on Embedded Networked Sensor Systems (SenSys), 2020
Shuya Ding
Zhe Chen
Tianyue Zheng
Jun Luo
111
127
0
29 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-Man Cheung
119
36
0
27 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs):
  Application to Parameterized PDEs
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs
Michael Penwarden
Shandian Zhe
A. Narayan
Robert M. Kirby
PINNAI4CE
234
58
0
26 Oct 2021
GCCN: Global Context Convolutional Network
GCCN: Global Context Convolutional Network
Ali Hamdi
Flora D. Salim
D. Kim
146
2
0
22 Oct 2021
Contextual Gradient Scaling for Few-Shot Learning
Contextual Gradient Scaling for Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Sang Hyuk Lee
Seunghyun Lee
B. Song
123
8
0
20 Oct 2021
Learning to Learn a Cold-start Sequential Recommender
Learning to Learn a Cold-start Sequential Recommender
Xiaowen Huang
Jitao Sang
Jian Yu
Changsheng Xu
DiffMCLLOffRL
130
27
0
18 Oct 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain
  Language Model Compression
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
Chenhe Dong
Yaliang Li
Ying Shen
Minghui Qiu
VLM
293
8
0
16 Oct 2021
Meta-Learning with Adjoint Methods
Meta-Learning with Adjoint Methods
Shibo Li
Zheng Wang
A. Narayan
Robert M. Kirby
Shandian Zhe
177
5
0
16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
231
15
0
14 Oct 2021
Morphable Detector for Object Detection on Demand
Morphable Detector for Object Detection on DemandIEEE International Conference on Computer Vision (ICCV), 2021
Xiangyun Zhao
Xu Zou
Ying Nian Wu
ObjD
166
4
0
10 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
Meta-Learning with Task-Adaptive Loss Function for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2021
Sungyong Baik
Janghoon Choi
Heewon Kim
Dohee Cho
Jaesik Min
Kyoung Mu Lee
169
128
0
08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-Xiong Wang
274
13
0
06 Oct 2021
Fast Contextual Adaptation with Neural Associative Memory for On-Device
  Personalized Speech Recognition
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Tsendsuren Munkhdalai
K. Sim
Angad Chandorkar
Fan Gao
Mason Chua
Trevor Strohman
F. Beaufays
194
39
0
05 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with
  Diverse Dataset
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian
Yunmei Chen
X. Ye
Qingchao Zhang
197
30
0
02 Oct 2021
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology
  Image Segmentation
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
Zheng Yuan
A. Esteva
Ran Xu
VLM
151
5
0
29 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty
  Awareness
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang
Tiehang Duan
Le Fang
Qiuling Suo
Mingchen Gao
350
20
0
29 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using
  Relation Networks
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2021
Amirreza Sobhdel
R. Razavi-Far
146
5
0
22 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-Xiong Wang
José M. F. Moura
140
33
0
20 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee
Myunggi Lee
Nojun Kwak
ObjD
169
40
0
16 Sep 2021
Rapid Model Architecture Adaption for Meta-Learning
Rapid Model Architecture Adaption for Meta-LearningNeural Information Processing Systems (NeurIPS), 2021
Yiren Zhao
Xitong Gao
Ilia Shumailov
Nicolò Fusi
Robert D. Mullins
217
6
0
10 Sep 2021
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