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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
Dual Meta-Learning with Longitudinally Generalized Regularization for
  One-Shot Brain Tissue Segmentation Across the Human Lifespan
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Yongheng Sun
Fan Wang
Jun Shu
Haifeng Wang
Li Meng
C. Lian
62
2
0
13 Aug 2023
Influence Function Based Second-Order Channel Pruning-Evaluating True
  Loss Changes For Pruning Is Possible Without Retraining
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
Hongrong Cheng
Miao Zhang
Javen Qinfeng Shi
AAML
63
1
0
13 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of
  Physics-Informed Neural Networks: Application to Composites Autoclave
  Processing
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing
Milad Ramezankhani
A. Milani
PINN
58
6
0
12 Aug 2023
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Siyuan Shan
Yang Li
A. Banerjee
Junier B. Oliva
74
7
0
11 Aug 2023
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order
  Gradient Computations in Implicit Neural Representation Processing
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing
Stefan Abi-Karam
Rishov Sarkar
Dejia Xu
Zhiwen Fan
Zhangyang Wang
Cong Hao
49
4
0
11 Aug 2023
Cross-heterogeneity Graph Few-shot Learning
Cross-heterogeneity Graph Few-shot Learning
Pengfei Ding
Yan Wang
Guanfeng Liu
59
3
0
10 Aug 2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task
  Switching Network for MRI Reconstruction
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction
Sriprabha Ramanarayanan
Mohammad Al Fahim
R. G. S.
Amrit Kumar Jethi
Keerthi Ram
M. Sivaprakasam
60
2
0
09 Aug 2023
Hierarchical Visual Primitive Experts for Compositional Zero-Shot
  Learning
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
Haksub Kim
Jiyoung Lee
S. Park
Kwanghoon Sohn
CoGe
92
12
0
08 Aug 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant
  Semantic Segmentation
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation
Zhu Liu
Jinyuan Liu
Ben-xi Zhang
Long Ma
Xin-Yue Fan
Risheng Liu
AAML
97
42
0
08 Aug 2023
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the
  Noise Model
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
Xin Jin
Jianqiang Xiao
Linghao Han
Chunle Guo
Xialei Liu
Chongyi Li
Ruixun Zhang
103
3
0
07 Aug 2023
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
Xingyu Li
Bo Tang
AAML
53
0
0
07 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided
  Enhancement
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
76
14
0
06 Aug 2023
M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot
  Fine-grained Action Recognition
M3^33Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Hao Tang
Jun Liu
Shuanglin Yan
Rui Yan
Zechao Li
Jinhui Tang
92
41
0
06 Aug 2023
Meta-learning in healthcare: A survey
Meta-learning in healthcare: A survey
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
98
9
0
05 Aug 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for
  Domain Adaptation
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
Menglong Lu
Zhen Huang
Yunxiang Zhao
Zhiliang Tian
Yang Liu
Dongsheng Li
69
6
0
05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for
  Domain Adaptation on Text Classification
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
Menglong Lu
Zhen Huang
Zhiliang Tian
Yunxiang Zhao
Xuanyu Fei
Dongsheng Li
OOD
78
5
0
04 Aug 2023
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and
  Prospects
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Jiapu Wang
Boyue Wang
M. Qiu
Shirui Pan
Bo Xiong
...
Linhao Luo
Tengfei Liu
Yongli Hu
Baocai Yin
Wen Gao
85
22
0
04 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
115
31
0
01 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Hengchu Lu
Yuanjie Shao
Xiang Wang
Changxin Gao
65
1
0
01 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent
  Communication Research
Towards More Human-like AI Communication: A Review of Emergent Communication Research
Nicolo’ Brandizzi
87
16
0
01 Aug 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel
  Optimization
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
Junyi Wang
Yuanyang Zhu
Zhi Wang
Yan Zheng
Jianye Hao
Chun-Han Chen
OffRL
65
0
0
01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAMLOOD
100
2
0
01 Aug 2023
Discovering Adaptable Symbolic Algorithms from Scratch
Discovering Adaptable Symbolic Algorithms from Scratch
Stephen Kelly
Daniel S. Park
Xingyou Song
Mitchell McIntire
Pranav Nashikkar
...
W. Banzhaf
Kalyanmoy Deb
Vishnu Boddeti
Jie Tan
Esteban Real
74
5
0
31 Jul 2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
93
10
0
31 Jul 2023
Lookbehind-SAM: k steps back, 1 step forward
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido
Pranshu Malviya
A. Baratin
Sarath Chandar
AAML
90
1
0
31 Jul 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
137
46
0
31 Jul 2023
Few-shot Image Classification based on Gradual Machine Learning
Few-shot Image Classification based on Gradual Machine Learning
Nanway Chen
Xianming Kuang
Feiyu Liu
K. Wang
Qun Chen
CLLVLM
77
3
0
28 Jul 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Cross-Modal Concept Learning and Inference for Vision-Language Models
Yi Zhang
Ce Zhang
Yushun Tang
Z. He
VLMMLLMCLIP
74
16
0
28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
Subeen Lee
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
88
1
0
28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable
  Kendall's Rank Correlation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Kai Zheng
Huishuai Zhang
Weiran Huang
64
8
0
28 Jul 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
Yingbo Zhou
Zhihao Yue
Yutong Ye
Pengyu Zhang
Xian Wei
Mingsong Chen
94
1
0
27 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
72
14
0
27 Jul 2023
Reinforcement Learning by Guided Safe Exploration
Reinforcement Learning by Guided Safe Exploration
Qisong Yang
T. D. Simão
N. Jansen
Simon Tindemans
M. Spaan
OffRLOnRL
76
5
0
26 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero
  Shot
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh
Touba Malekzadeh
Christopher T. H. Teo
Keshigeyan Chandrasegaran
Guimeng Liu
Ngai-Man Cheung
VLMMedIm
129
24
0
26 Jul 2023
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Junwon Seo
Taekyung Kim
Seongyong Ahn
K. Kwak
88
0
0
26 Jul 2023
Regularizing Neural Networks with Meta-Learning Generative Models
Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi
Daiki Chijiwa
Sekitoshi Kanai
Atsutoshi Kumagai
H. Kashima
77
5
0
26 Jul 2023
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering
  based Meta-Learning
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
Mohammmadmahdi Maheri
R. Abdollahzadeh
Bardia Mohammadi
Mina Rafiei
J. Habibi
Hamid R. Rabiee
53
0
0
25 Jul 2023
NormAUG: Normalization-guided Augmentation for Domain Generalization
NormAUG: Normalization-guided Augmentation for Domain Generalization
Lei Qi
Hongpeng Yang
Yinghuan Shi
Xin Geng
OOD
101
13
0
25 Jul 2023
Cos R-CNN for Online Few-shot Object Detection
Cos R-CNN for Online Few-shot Object Detection
G. P. Data
Henry Howard-Jenkins
D. W. Murray
V. Prisacariu
ObjD
41
1
0
25 Jul 2023
Achieving Linear Speedup in Decentralized Stochastic Compositional
  Minimax Optimization
Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization
Hongchang Gao
86
1
0
25 Jul 2023
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised
  Real-world Single Image Super-Resolution
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution
Reyhaneh Neshatavar
Mohsen Yavartanoo
Sanghyun Son
Kyoung Mu Lee
54
7
0
24 Jul 2023
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation
  of rPPG
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
Daeyeol Kim
Eunsu Goh
Kwangkee Lee
J. Chae
JongHyeon Mun
Junyeong Na
Chae-Bong Sohn
Do-Yup Kim
47
0
0
24 Jul 2023
A meta learning scheme for fast accent domain expansion in Mandarin
  speech recognition
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Z. Zhu
Changhao Shan
Bihong Zhang
Jian Yu
70
0
0
23 Jul 2023
Expert Knowledge-Aware Image Difference Graph Representation Learning
  for Difference-Aware Medical Visual Question Answering
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
Xinyue Hu
Lin Gu
Qi A. An
Mengliang Zhang
Liangchen Liu
Kazuma Kobayashi
Tatsuya Harada
Ronald M. Summers
Yingying Zhu
MedIm
78
31
0
22 Jul 2023
Automatic Data Augmentation Learning using Bilevel Optimization for
  Histopathological Images
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Saypraseuth Mounsaveng
I. Laradji
David Vázquez
M. Pedersoli
Ismail Ben Ayed
OOD
50
1
0
21 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement
  Learning
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang
Junxiong Wang
Yueying Li
Nathan Kallus
Immanuel Trummer
Wen Sun
GP
120
2
0
21 Jul 2023
Robust Visual Question Answering: Datasets, Methods, and Future
  Challenges
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Jie Ma
Pinghui Wang
Dechen Kong
Zewei Wang
Jun Liu
Hongbin Pei
Junzhou Zhao
OOD
126
23
0
21 Jul 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming-Hsuan Yang
Laurent Itti
CLL
95
12
0
21 Jul 2023
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal
  Control using Domain Randomization and Meta Learning
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning
Arthur Muller
M. Sabatelli
43
3
0
21 Jul 2023
A Definition of Continual Reinforcement Learning
A Definition of Continual Reinforcement Learning
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
99
83
0
20 Jul 2023
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