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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
v1v2v3 (latest)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXiv (abs)PDFHTML

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 5,503 papers shown
Title
DETA: Denoised Task Adaptation for Few-Shot Learning
DETA: Denoised Task Adaptation for Few-Shot Learning
Ji Zhang
Lianli Gao
Xu Luo
Hengtao Shen
Jingkuan Song
VLM
107
21
0
11 Mar 2023
Multi-Content Interaction Network for Few-Shot Segmentation
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen
YunLong Yu
Yonghan Dong
Zhe-Ming Lu
Yingming Li
Zhongfei Zhang
61
4
0
11 Mar 2023
Open-Ended Medical Visual Question Answering Through Prefix Tuning of
  Language Models
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models
Tom van Sonsbeek
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Cees G. M. Snoek
Marcel Worring
LM&MA
69
57
0
10 Mar 2023
Knowledge-augmented Few-shot Visual Relation Detection
Knowledge-augmented Few-shot Visual Relation Detection
Tianyu Yu
Yongqian Li
Jiaoyan Chen
Hai-Tao Zheng
Haitao Zheng
...
Qingbin Liu
Wenqiang Liu
Dongxiao Huang
Bei Wu
Yexin Wang
93
6
0
09 Mar 2023
Multi-task Meta Label Correction for Time Series Prediction
Multi-task Meta Label Correction for Time Series Prediction
Luxuan Yang
Ting Gao
Wei Wei
Min Dai
Cheng Fang
Jinqiao Duan
AI4TS
114
4
0
09 Mar 2023
Meta-learning Control Variates: Variance Reduction with Limited Data
Meta-learning Control Variates: Variance Reduction with Limited Data
Z. Sun
Chris J. Oates
F. Briol
BDL
96
9
0
08 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Marco D’Alessandro
Alberto Alonso
Enrique Calabrés
M. Galar
CLL
70
13
0
08 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet
  Models?
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
Boris Knyazev
Doha Hwang
Simon Lacoste-Julien
AI4CE
88
21
0
07 Mar 2023
Your representations are in the network: composable and parallel
  adaptation for large scale models
Your representations are in the network: composable and parallel adaptation for large scale models
Yonatan Dukler
Alessandro Achille
Hao Yang
Varsha Vivek
Luca Zancato
Benjamin Bowman
Avinash Ravichandran
Charless C. Fowlkes
A. Swaminathan
Stefano Soatto
97
3
0
07 Mar 2023
Deep Learning for Inertial Positioning: A Survey
Deep Learning for Inertial Positioning: A Survey
Changhao Chen
Xianfei Pan
81
53
0
07 Mar 2023
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A Survey
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
142
56
0
07 Mar 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy:
  A Meta-Learning Approach
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach
Yunfei Ge
Tao Li
Quanyan Zhu
AAML
75
18
0
06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
67
4
0
06 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Jun Cen
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
VLM
80
61
0
06 Mar 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain
  Shift
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift
Yifan Zhu
Pranay Thangeda
Melkior Ornik
Kris K. Hauser
99
10
0
06 Mar 2023
Knowledge-embedded meta-learning model for lift coefficient prediction
  of airfoils
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils
Hairun Xie
Jing Wang
Miao Zhang
26
6
0
06 Mar 2023
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in
  Finance
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan
Shaoling Chen
Yuxuan He
Zhihan Li
AIFin
50
2
0
06 Mar 2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating
  Heterogeneous Lightweight Clients in IoT
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Jiaqi Wang
Shenglai Zeng
Zewei Long
Yaqing Wang
Houping Xiao
Fenglong Ma
64
17
0
05 Mar 2023
Time Associated Meta Learning for Clinical Prediction
Time Associated Meta Learning for Clinical Prediction
Hao Liu
Muhan Zhang
Zehao Dong
Lecheng Kong
Yixin Chen
Bradley A. Fritz
Dacheng Tao
C. King
86
0
0
05 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Rabiul Awal
Roy Ka-wei Lee
Eshaan Tanwar
Tanmay Garg
Tanmoy Chakraborty
73
28
0
04 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLMMLLM
108
181
0
03 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts
Learning to Adapt to Online Streams with Distribution Shifts
Chenyan Wu
Yimu Pan
Yandong Li
James Z. Wang
TTA
57
3
0
02 Mar 2023
First-order ANIL learns linear representations despite misspecified
  latent dimension
First-order ANIL learns linear representations despite misspecified latent dimension
Oğuz Kaan Yüksel
Etienne Boursier
Nicolas Flammarion
93
0
0
02 Mar 2023
Domain Adaptation of Reinforcement Learning Agents based on Network
  Service Proximity
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity
Kaushik Dey
S. K. Perepu
P. Dasgupta
Abir Das
59
1
0
02 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLMSSL
97
18
0
02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTDSSL
83
34
0
02 Mar 2023
Continuous-Time Functional Diffusion Processes
Continuous-Time Functional Diffusion Processes
Giulio Franzese
Dario Rossi
Simone Rossi
Markus Heinonen
Maurizio Filippone
Pietro Michiardi
114
27
0
01 Mar 2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast
  Self-Adaptation
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Junjie Yang
Xuxi Chen
Tianlong Chen
Zhangyang Wang
Yitao Liang
65
3
0
28 Feb 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
Marcel Worring
VLM
136
19
0
28 Feb 2023
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start
  Recommendation
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation
Minchang Kim
Yongjin Yang
Jung Hyun Ryu
Taesup Kim
OffRL
40
5
0
28 Feb 2023
Human-Inspired Framework to Accelerate Reinforcement Learning
Human-Inspired Framework to Accelerate Reinforcement Learning
Ali Beikmohammadi
Sindri Magnússon
OffRL
86
4
0
28 Feb 2023
Towards Personalized Preprocessing Pipeline Search
Towards Personalized Preprocessing Pipeline Search
Diego Martinez
Daochen Zha
Qiaoyu Tan
Helen Zhou
AI4TS
70
2
0
28 Feb 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in
  Adversarial Data-Free Knowledge Distillation
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
Gaurav Patel
Konda Reddy Mopuri
Qiang Qiu
76
28
0
28 Feb 2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio
  Classification
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Zhongjie Yu
Shuyang Wang
Lin Chen
Zhongwei Cheng
VLM
60
3
0
27 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
100
4
0
27 Feb 2023
High-Precise Robot Arm Manipulation based on Online Iterative Learning
  and Forward Simulation with Positioning Error Below End-Effector Physical
  Minimum Displacement
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement
Weiming Qu
Tianlin Liu
D. Luo
75
2
0
26 Feb 2023
AugGPT: Leveraging ChatGPT for Text Data Augmentation
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai
Zheng Liu
Wenxiong Liao
Xiaoke Huang
Yihan Cao
...
Lichao Sun
Quanzheng Li
Dinggang Shen
Tianming Liu
Xiang Li
139
160
0
25 Feb 2023
Agile Modeling: From Concept to Classifier in Minutes
Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu
Edward Vendrow
Kenji Hata
Krishnamurthy Viswanathan
V. Ferrari
...
Chun-Ta Lu
Javier A Rey
Giulia DeSalvo
Ranjay Krishna
Ariel Fuxman
HAI
73
15
0
25 Feb 2023
Adapting Knowledge for Few-shot Table-to-Text Generation
Adapting Knowledge for Few-shot Table-to-Text Generation
Zhixin Guo
Min Yan
Jiexing Qi
Jianping Zhou
Ziwei He
Guanjie Zheng
Xinbing Wang
VLMLMTD
82
2
0
24 Feb 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast
  On-Device Adaption
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
Yejia Liu
Shijin Duan
Xiaolin Xu
Shaolei Ren
74
4
0
23 Feb 2023
Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Chen Geng
Sida Peng
Zhenqi Xu
Hujun Bao
Xiaowei Zhou
3DH
92
70
0
23 Feb 2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image
  Models
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal
Moab Arar
Yuval Atzmon
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
DiffM
141
200
0
23 Feb 2023
Inequity aversion reduces travel time in the traffic light control
  problem
Inequity aversion reduces travel time in the traffic light control problem
Mersad Hassanjani
Farinaz Alamiyan Harandi
Pouria Ramazi
31
0
0
23 Feb 2023
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Kehua Chen
Yuxuan Liang
Jindong Han
Siyuan Feng
Meixin Zhu
Hai Yang
AI4TS
89
8
0
23 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
117
10
0
23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny
Guillaume Lample
Sylvain Lamprier
M. Virgolin
113
32
0
22 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization
Energy-Based Test Sample Adaptation for Domain Generalization
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
103
20
0
22 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated
  Learning
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
98
8
0
22 Feb 2023
Open-domain Visual Entity Recognition: Towards Recognizing Millions of
  Wikipedia Entities
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
Hexiang Hu
Yi Luan
Yang Chen
Urvashi Khandelwal
Mandar Joshi
Kenton Lee
Kristina Toutanova
Ming-Wei Chang
VLM
130
61
0
22 Feb 2023
Mask-guided BERT for Few Shot Text Classification
Mask-guided BERT for Few Shot Text Classification
Wenxiong Liao
Zheng Liu
Haixing Dai
Zihao Wu
Yiyang Zhang
...
Dajiang Zhu
Tianming Liu
Sheng Li
Xiang Li
Hongmin Cai
VLM
95
41
0
21 Feb 2023
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