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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
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Xu Zhao
Duzhen Zhang
Liyuan Han
Tielin Zhang
Bo Xu
83
7
0
25 Sep 2023
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text
  Translation
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation
Yiqun Duan
Jinzhao Zhou
Zhen Wang
Yu-Kai Wang
Ching-Teng Lin
122
34
0
25 Sep 2023
Policy Stitching: Learning Transferable Robot Policies
Policy Stitching: Learning Transferable Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
OffRL
61
8
0
24 Sep 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing
  Environments
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
Yujie Lin
Chen Zhao
Minglai Shao
Baoluo Meng
Xujiang Zhao
Haifeng Chen
85
3
0
22 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
80
2
0
22 Sep 2023
Invariant Learning via Probability of Sufficient and Necessary Causes
Invariant Learning via Probability of Sufficient and Necessary Causes
Mengyue Yang
Zhen Fang
Yonggang Zhang
Yali Du
Furui Liu
Jean-François Ton
Jianhong Wang
Jun Wang
OODD
148
14
0
22 Sep 2023
Curriculum Reinforcement Learning via Morphology-Environment
  Co-Evolution
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution
Shuang Ao
Tianyi Zhou
Guodong Long
Xuan Song
Jing Jiang
84
3
0
21 Sep 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDaMU
106
45
0
21 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
Meta OOD Learning for Continuously Adaptive OOD Detection
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
114
5
0
21 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
108
23
0
20 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
97
7
0
20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative
  Sub-regions for Few-shot Medical Image Segmentation
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Yazhou Zhu
Shidong Wang
Tong Xin
Zheng Zhang
Haofeng Zhang
100
12
0
20 Sep 2023
Mixture Weight Estimation and Model Prediction in Multi-source
  Multi-target Domain Adaptation
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Yuyang Deng
Ilja Kuzborskij
M. Mahdavi
OOD
65
2
0
19 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
70
5
0
19 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain
  Adaptation: Theory and Algorithms
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Keru Wu
Yuansi Chen
Wooseok Ha
Ting Yu
CML
85
2
0
19 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
54
0
0
18 Sep 2023
Understanding Catastrophic Forgetting in Language Models via Implicit
  Inference
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
Suhas Kotha
Jacob Mitchell Springer
Aditi Raghunathan
CLL
128
71
0
18 Sep 2023
Context is Environment
Context is Environment
Sharut Gupta
Stefanie Jegelka
David Lopez-Paz
Kartik Ahuja
77
0
0
18 Sep 2023
DGM-DR: Domain Generalization with Mutual Information Regularized
  Diabetic Retinopathy Classification
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
Aleksandr Matsun
Dana O. Mohamed
Sharon Chokuwa
Muhammad Ridzuan
Mohammad Yaqub
OOD
87
2
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
95
7
0
17 Sep 2023
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime
  Inference
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
S. Banerjee
Vinay Kumar Verma
Avideep Mukherjee
Deepak Gupta
Vinay P. Namboodiri
Piyush Rai
CLL
91
5
0
15 Sep 2023
Multilingual Sentence-Level Semantic Search using Meta-Distillation
  Learning
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning
Meryem M'hamdi
Jonathan May
Franck Dernoncourt
Trung Bui
Seunghyun Yoon
FedML
67
1
0
15 Sep 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model
  Adaptation from Faces
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
Zhicun Yin
Ming-Yu Liu
Xiaoming Li
Hui Yang
Longan Xiao
W. Zuo
3DH
73
7
0
15 Sep 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms
Learning to Warm-Start Fixed-Point Optimization Algorithms
Rajiv Sambharya
Georgina Hall
Brandon Amos
Bartolomeo Stellato
79
13
0
14 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things
  (IoT): Opportunities and Challenges
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou
Jin Ye
Geng Yuan
Qin Lu
Wei Niu
...
Hongyue Sun
Yunli Shao
Changying Li
Tianming Liu
Wenzhan Song
AI4CE
85
29
0
14 Sep 2023
Generalizable Neural Fields as Partially Observed Neural Processes
Generalizable Neural Fields as Partially Observed Neural Processes
Jeffrey Gu
Kuan-Chieh Wang
Serena Yeung
AI4CE
99
4
0
13 Sep 2023
Convergence of Gradient-based MAML in LQR
Convergence of Gradient-based MAML in LQR
N. Musavi
Geir E. Dullerud
83
6
0
12 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning
  Rates
Exploring Flat Minima for Domain Generalization with Large Learning Rates
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
81
3
0
12 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
Jeroen Galjaard
Robert Birke
Juan F. Pérez
Lydia Y. Chen
NoLa
79
0
0
12 Sep 2023
Uncovering mesa-optimization algorithms in Transformers
Uncovering mesa-optimization algorithms in Transformers
J. Oswald
Eyvind Niklasson
Maximilian Schlegel
Seijin Kobayashi
Nicolas Zucchet
...
Mark Sandler
Blaise Agüera y Arcas
Max Vladymyrov
Razvan Pascanu
João Sacramento
72
64
0
11 Sep 2023
A physics-informed and attention-based graph learning approach for
  regional electric vehicle charging demand prediction
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction
Haohao Qu
Haoxuan Kuang
Jun Li
Linlin You
GNN
41
26
0
11 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Rongsheng Li
Yongqian Li
Hai-Tao Zheng
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
81
2
0
10 Sep 2023
Neural Semantic Surface Maps
Neural Semantic Surface Maps
Luca Morreale
Noam Aigerman
Vladimir G. Kim
Niloy J. Mitra
3DV3DPC
78
6
0
09 Sep 2023
Regret-Optimal Federated Transfer Learning for Kernel Regression with
  Applications in American Option Pricing
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing
Xuwei Yang
Anastasis Kratsios
Florian Krach
Matheus Grasselli
Aurelien Lucchi
FedML
59
2
0
08 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
86
0
0
08 Sep 2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for
  Unsupervised Zero-Day Web Attack Detection across Web Domains
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Peiyang Li
Ye Wang
Qi Li
Zhuotao Liu
Ke Xu
Ju Ren
Zhiying Liu
Ruilin Lin
AAML
118
8
0
07 Sep 2023
Amortised Inference in Bayesian Neural Networks
Amortised Inference in Bayesian Neural Networks
Tommy Rochussen
UQCVBDL
73
0
0
06 Sep 2023
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain
  Adaptation in Neural Machine Translation
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation
Keyu Chen
Zhuang Di
Mingchen Li
J. M. Chang
118
3
0
06 Sep 2023
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe
  Self-Driving in Non-Stationary Environments
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
Haozhe Lei
Quanyan Zhu
66
1
0
05 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
87
1
0
05 Sep 2023
Linear Regression using Heterogeneous Data Batches
Linear Regression using Heterogeneous Data Batches
Ayush Jain
Rajat Sen
Weihao Kong
Abhimanyu Das
A. Orlitsky
58
3
0
05 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
OffRLOnRL
79
8
0
04 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
102
0
0
04 Sep 2023
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent
  Pseudo-Modalities
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities
Dewei Hu
Hao Li
Han Liu
Xing Yao
Jiacheng Wang
I. Oguz
MedIm
113
4
0
03 Sep 2023
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for
  Dirichlet Distributed Heterogeneous Data
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data
Hamza Reguieg
Mohammed El Hanjri
Mohamed El-Kamili
A. Kobbane
FedML
88
7
0
03 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language
  Reasoning
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning
Yi Zhang
Ce Zhang
Zihan Liao
Yushun Tang
Zhihai He
BDLVLM
106
10
0
03 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey
Neurosymbolic Reinforcement Learning and Planning: A Survey
Kamal Acharya
Waleed Raza
Carlos Dourado
Alvaro Velasquez
Houbing Song
NAIOffRL
90
17
0
02 Sep 2023
PFL-LSTR: A privacy-preserving framework for driver intention inference
  based on in-vehicle and out-vehicle information
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information
Runjia Du
Pei Li
Sikai Chen
Samuel Labi
31
0
0
02 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained Recognition with Learnable Semantic Data Augmentation
Yifan Pu
Yizeng Han
Yulin Wang
Junlan Feng
Chao Deng
Gao Huang
101
29
0
01 Sep 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random
  Discriminative Subspaces
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Kshitiz
Garvit Garg
Angshuman Paul
16
1
0
31 Aug 2023
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