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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
Multi-task Paired Masking with Alignment Modeling for Medical
  Vision-Language Pre-training
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Kecheng Zhang
Shuai Liu
Jun Yu
Han Jiang
Jianping Fan
Qing-An Huang
Weidong Han
MedIm
78
33
0
13 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
98
4
0
13 May 2023
Learning to Learn Unlearned Feature for Brain Tumor Segmentation
Learning to Learn Unlearned Feature for Brain Tumor Segmentation
Sungyeob Han
Yeon-Jae Kim
Seokhyeon Ha
Jungwook Lee
S. Choi
35
0
0
13 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
103
5
0
12 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image
  Depth Prediction
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction
Cho-Ying Wu
Yiqi Zhong
Junying Wang
Ulrich Neumann
MDE
70
5
0
12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
Xinyu Gong
S. Mohan
Naina Dhingra
Jean-Charles Bazin
Yilei Li
Zhangyang Wang
Rakesh Ranjan
EgoV
127
19
0
12 May 2023
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image
  Segmentation
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Ziyuan Zhao
Fangcheng Zhou
Zeng Zeng
Cuntai Guan
S. Kevin Zhou
114
9
0
11 May 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Hugo Oliveira
P. H. T. Gama
Isabelle Bloch
R. M. C. Junior
62
10
0
11 May 2023
Towards Scalable Adaptive Learning with Graph Neural Networks and
  Reinforcement Learning
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Jean Vassoyan
Jill-Jênn Vie
Pirmin Lemberger
GNN
30
3
0
10 May 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding
RECKONING: Reasoning through Dynamic Knowledge Encoding
Zeming Chen
Gail Weiss
E. Mitchell
Asli Celikyilmaz
Antoine Bosselut
KELMLRM
106
13
0
10 May 2023
Multiverse at the Edge: Interacting Real World and Digital Twins for
  Wireless Beamforming
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming
Batool Salehi
Utku Demir
Debashri Roy
Suyasha Pradhan
Jennifer Dy
Stratis Ioannidis
Kaushik R. Chowdhury
66
11
0
10 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information
  Maximization
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Huabin Liu
W. Lin
Tieyuan Chen
Yuxi Li
Shuyuan Li
John See
74
6
0
10 May 2023
Few-shot Link Prediction on N-ary Facts
Few-shot Link Prediction on N-ary Facts
Jiyao Wei
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Xueqi Cheng
82
0
0
10 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
139
14
0
10 May 2023
Best-Effort Adaptation
Best-Effort Adaptation
Pranjal Awasthi
Corinna Cortes
M. Mohri
91
8
0
10 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating
  Expected Cost of Future Tasks
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
Roshan Dhakal
Md Ridwan Hossain Talukder
Gregory J. Stein
55
3
0
08 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of
  Methodologies and Formal Mathematical Framework
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
Jannatul Nayem
Sayed Sahriar Hasan
Noshin Amina
Bristy Das
Md. Shahin Ali
M. Ahsan
S. Raman
71
10
0
08 May 2023
Learning Generalizable Pivoting Skills
Learning Generalizable Pivoting Skills
Xiang Zhang
Siddarth Jain
Baichuan Huang
Masayoshi Tomizuka
Diego Romeres
96
14
0
04 May 2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image
  Reconstruction from 0.5T MRI
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
S. He
Congcong Liu
Chentao Cao
Yuanyuan Liu
Yaxiong Lei
Qingyong Zhu
Yanjie Zhu
Haifeng Wang
Dong Liang
MedImDiffM
107
2
0
04 May 2023
Black-box Prompt Tuning with Subspace Learning
Black-box Prompt Tuning with Subspace Learning
Yuanhang Zheng
Zhixing Tan
Peng Li
Yang Liu
VLM
147
11
0
04 May 2023
Plug-and-Play Multilingual Few-shot Spoken Words Recognition
Plug-and-Play Multilingual Few-shot Spoken Words Recognition
Aaqib Saeed
Vasileios Tsouvalas
66
0
0
03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to
  Descendant Models
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
80
13
0
03 May 2023
DocLangID: Improving Few-Shot Training to Identify the Language of
  Historical Documents
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents
Furkan Simsek
Brian Pfitzmann
Hendrik Raetz
Jona Otholt
Haojin Yang
Christoph Meinel
27
2
0
03 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Wanli Li
T. Qian
Yi Song
Zeyu Zhang
Jiawei Li
Zhuang Chen
Lixin Zou
151
1
0
03 May 2023
Accelerating Neural Self-Improvement via Bootstrapping
Accelerating Neural Self-Improvement via Bootstrapping
Kazuki Irie
Jürgen Schmidhuber
70
1
0
02 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale
  Car-sharing Platform
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform
Kyungchul Park
Hyun-Kyo Chung
51
0
0
02 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital
  Twins, and Parallel Intelligence
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
Xuemin Hu
Shen Li
Ting Huang
Bo Tang
Rouxing Huai
Long Chen
88
73
0
02 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order
  Statistics
Few-shot Classification via Ensemble Learning with Multi-Order Statistics
Sai Yang
Fan Liu
Delong Chen
Jun Zhou
70
6
0
30 Apr 2023
META-SMGO-$Δ$: similarity as a prior in black-box optimization
META-SMGO-ΔΔΔ: similarity as a prior in black-box optimization
Riccardo Busetto
Valentina Breschi
Simone Formentin
83
0
0
30 Apr 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation
  Learning
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Mingyang Wang
Zhenshan Bing
Xiangtong Yao
Shuai Wang
Hang Su
Chenguang Yang
Kai Huang
Alois C. Knoll
SSLOOD
132
17
0
29 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing
Analogy-Forming Transformers for Few-Shot 3D Parsing
N. Gkanatsios
M. Singh
Zhaoyuan Fang
Shubham Tulsiani
Katerina Fragkiadaki
3DPC3DV
74
2
0
27 Apr 2023
On the Generalization Error of Meta Learning for the Gibbs Algorithm
On the Generalization Error of Meta Learning for the Gibbs Algorithm
Yuheng Bu
Harsha Vardhan Tetali
Gholamali Aminian
Miguel R. D. Rodrigues
G. Wornell
AI4CE
94
3
0
27 Apr 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kai Zhang
Pulkit Agrawal
100
16
0
27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
81
6
0
27 Apr 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
117
20
0
27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving
  Few-Shot Learning
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
82
12
0
26 Apr 2023
Combining Adversaries with Anti-adversaries in Training
Combining Adversaries with Anti-adversaries in Training
Xiaoling Zhou
Nan Yang
Ou Wu
AAML
67
9
0
25 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards
  Boosted Few-Shot Parameter-Efficient Tuning
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
86
6
0
25 Apr 2023
Context-enriched molecule representations improve few-shot drug
  discovery
Context-enriched molecule representations improve few-shot drug discovery
Johannes Schimunek
Philipp Seidl
Lukas Friedrich
Daniel Kuhn
F. Rippmann
Sepp Hochreiter
Günter Klambauer
91
28
0
24 Apr 2023
Moving Forward by Moving Backward: Embedding Action Impact over Action
  Semantics
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Kuo-Hao Zeng
Luca Weihs
Roozbeh Mottaghi
Ali Farhadi
77
3
0
24 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object
  Detection
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection
B. Demirel
Orhun Bugra Baran
R. G. Cinbis
111
12
0
24 Apr 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement
  Learning
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
93
1
0
24 Apr 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot
  Artistic Style Transfer
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Hao Tang
Songhua Liu
Tianwei Lin
Shaoli Huang
Fu Li
Dongliang He
Xinchao Wang
94
11
0
24 Apr 2023
Efficient Robot Skill Learning with Imitation from a Single Video for
  Contact-Rich Fabric Manipulation
Efficient Robot Skill Learning with Imitation from a Single Video for Contact-Rich Fabric Manipulation
Shengzeng Huo
Anqing Duan
Lijun Han
Luyin Hu
Hesheng Wang
D. Navarro-Alarcon
64
1
0
24 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by
  Iterative Graph Refinement
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement
Hao Zhu
Piotr Koniusz
111
41
0
23 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
90
1
0
21 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning
Sang-Hoon Lee
Seunghyun Lee
B. Song
87
0
0
21 Apr 2023
Can SAM Count Anything? An Empirical Study on SAM Counting
Can SAM Count Anything? An Empirical Study on SAM Counting
Zhiheng Ma
Xiaopeng Hong
Qinnan Shangguan
VLM
132
19
0
21 Apr 2023
Debiasing Conditional Stochastic Optimization
Debiasing Conditional Stochastic Optimization
Lie He
S. Kasiviswanathan
CMLBDL
120
4
0
20 Apr 2023
Clustered-patch Element Connection for Few-shot Learning
Clustered-patch Element Connection for Few-shot Learning
Jinxiang Lai
Siqian Yang
Junhong Zhou
Wenlong Wu
Xiao Chen
Jun Liu
Bin-Bin Gao
Chengjie Wang
65
8
0
20 Apr 2023
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