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

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

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXivPDFHTML

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

50 / 2,243 papers shown
Title
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
37
4
0
12 Apr 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
34
2
0
11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
72
142
0
11 Apr 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization
Experience-Based Evolutionary Algorithms for Expensive Optimization
Xunzhao Yu
Yan Wang
Ling Zhu
Dimitar Filev
Xin Yao
17
2
0
09 Apr 2023
Learning Agile, Vision-based Drone Flight: from Simulation to Reality
Learning Agile, Vision-based Drone Flight: from Simulation to Reality
Davide Scaramuzza
Elia Kaufmann
47
3
0
09 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with
  Meta-Learning
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
Zifeng Wang
Cao Xiao
Jimeng Sun
31
17
0
07 Apr 2023
A physics-informed neural network framework for modeling
  obstacle-related equations
A physics-informed neural network framework for modeling obstacle-related equations
Hamid EL Bahja
J. C. Hauffen
P. Jung
B. Bah
Issa Karambal
PINN
AI4CE
41
4
0
07 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot
  Keypoint Detection
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection
Changsheng Lu
Hao Zhu
Piotr Koniusz
48
11
0
06 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo
Jian Wang
Yiming Qian
Yee-Hong Yang
23
0
0
04 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu
Daniela Massiceti
S. Hu
S. Feizi
VLM
37
29
0
04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
45
15
0
04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
18
21
0
04 Apr 2023
Learning Personalized Models with Clustered System Identification
Learning Personalized Models with Clustered System Identification
Leonardo F. Toso
Hang Wang
James Anderson
26
9
0
03 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot
  Action Recognition
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
26
40
0
03 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization
CNNs with Multi-Level Attention for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
29
6
0
02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye
Erik Cambria
Bo Zhang
Tao Chen
3DPC
31
15
0
31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification?
What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye
Erik Cambria
Yongbin Liao
Yang-ting Zhang
Tao Chen
Jiayuan Fan
3DPC
35
26
0
31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang
Bingcong Li
Shi-Ji Gao
G. Giannakis
BDL
26
9
0
31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable
  Convex Optimization
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
Tanmay Gautam
Samuel Pfrommer
Somayeh Sojoudi
26
2
0
29 Mar 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
66
13
0
29 Mar 2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot
Amy Zhang
Dhruv Batra
Z. Kira
Franziska Meier
OOD
OffRL
33
8
0
28 Mar 2023
System-status-aware Adaptive Network for Online Streaming Video
  Understanding
System-status-aware Adaptive Network for Online Streaming Video Understanding
Lin Geng Foo
Jia Gong
Zhipeng Fan
Jing Liu
AI4TS
37
15
0
28 Mar 2023
Distributed Neural Representation for Reactive in situ Visualization
Distributed Neural Representation for Reactive in situ Visualization
Qi Wu
J. Insley
V. Mateevitsi
S. Rizzi
M. Papka
Kwan-Liu Ma
32
1
0
28 Mar 2023
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
K. Prabhakar
Vishal Vinod
N. Sahoo
Venkatesh Babu Radhakrishnan
22
7
0
27 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
40
16
0
27 Mar 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A
  Multitask Learning Perspective
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang
Guangtao Zhai
Ying Wei
Xiaokang Yang
Kede Ma
VLM
46
171
0
27 Mar 2023
GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward
  non-intrusive Meta-learning of parametric PDEs
GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs
Yanlai Chen
Shawn Koohy
PINN
AI4CE
37
24
0
27 Mar 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
70
1
0
26 Mar 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive
  Summarization
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Yun-Zhu Song
Hong-Han Shuai
33
6
0
24 Mar 2023
Generalist: Decoupling Natural and Robust Generalization
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
49
14
0
24 Mar 2023
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
Xingchen Li
Long Chen
Guikun Chen
Yinfu Feng
Yi Yang
Jun Xiao
35
6
0
20 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
49
4
0
20 Mar 2023
Remote Task-oriented Grasp Area Teaching By Non-Experts through
  Interactive Segmentation and Few-Shot Learning
Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning
Furkan Kaynar
Sudarshan Rajagopalan
Shaobo Zhou
Eckehard Steinbach
35
3
0
17 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
46
13
0
15 Mar 2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic
  Meta-Learning and Brain MRI
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI
Nikhil J. Dhinagar
Vignesh Santhalingam
Katherine E. Lawrence
Emily Laltoo
Paul M. Thompson
23
3
0
14 Mar 2023
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
DongDong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
46
52
0
14 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
M. Worring
LM&MA
16
51
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
55
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
44
3
0
09 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
39
17
0
07 Mar 2023
Deep Learning for Inertial Positioning: A Survey
Deep Learning for Inertial Positioning: A Survey
Changhao Chen
Xianfei Pan
24
49
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
26
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
31
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
29
53
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
14
6
0
06 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
43
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
24
26
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
VLM
MLLM
45
170
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
32
3
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
27
1
0
02 Mar 2023
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