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A Simple Neural Attentive Meta-Learner
v1v2v3 (latest)

A Simple Neural Attentive Meta-Learner

11 July 2017
Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Simple Neural Attentive Meta-Learner"

50 / 131 papers shown
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context VariablesAAAI Conference on Artificial Intelligence (AAAI), 2024
Yang Chen
Xiao Lin
Bo Yan
Libo Zhang
Jiamou Liu
N. Tan
Michael Witbrock
OffRLAI4CE
104
5
0
04 Sep 2025
Transductive One-Shot Learning Meet Subspace Decomposition
Transductive One-Shot Learning Meet Subspace DecompositionInternational Conference on Information Photonics (ICIP), 2025
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
VLM
298
3
0
01 Apr 2025
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Siyue Tao
Junqiao Zhao
Pheng-Ann Heng
OffRL
473
17
0
04 Feb 2024
Adaptive Growth: Real-time CNN Layer Expansion
Adaptive Growth: Real-time CNN Layer Expansion
Yunjie Zhu
Yunhao Chen
196
0
0
06 Sep 2023
Learning More Discriminative Local Descriptors for Few-shot Learning
Learning More Discriminative Local Descriptors for Few-shot Learning
Qi Song
Siyun Zhou
Liwei Xu
138
2
0
15 May 2023
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement
  Learning
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu
Nicklas Hansen
Zirui Wang
Yung-Chieh Chan
H. Su
Zhuowen Tu
OffRL
261
18
0
19 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
134
0
0
14 Oct 2022
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment
  Analysis
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
Jia Li
Ziyang Zhang
Jun Lang
Yueqi Jiang
Liuwei An
...
Sheng Gao
Jie Lin
Chunxiao Fan
Xiao Sun
Meng Wang
181
35
0
05 Aug 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot
  Classification
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification
Xueliang Wang
Jianyu Cai
Shuiwang Ji
Houqiang Li
Feng Wu
Jie Wang
111
0
0
16 Jun 2022
Improved Meta Learning for Low Resource Speech Recognition
Improved Meta Learning for Low Resource Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Satwinder Singh
Ruili Wang
Feng Hou
245
26
0
11 May 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain,
  Active and Continual Few-Shot Learning
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot LearningSocial Science Research Network (SSRN), 2022
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDLVLM
215
10
0
13 Jan 2022
Accelerating Gradient-based Meta Learner
Accelerating Gradient-based Meta Learner
Varad Pimpalkhute
Amey Pandit
Mayank Mishra
Rekha Singhal
89
1
0
27 Oct 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments
LEADS: Learning Dynamical Systems that Generalize Across EnvironmentsNeural Information Processing Systems (NeurIPS), 2021
Yuan Yin
Ibrahim Ayed
Emmanuel de Bézenac
Nicolas Baskiotis
Patrick Gallinari
OOD
221
43
0
08 Jun 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot
  Learning
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhiqiang Shen
Zechun Liu
Jie Qin
Marios Savvides
Kwang-Ting Cheng
CLL
240
190
0
08 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
559
381
0
25 Dec 2020
Accelerating Distributed Online Meta-Learning via Multi-Agent
  Collaboration under Limited Communication
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited CommunicationACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2020
Sen Lin
M. Dedeoglu
Junshan Zhang
FedML
211
6
0
15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learningIEEE International Conference on Computer Vision (ICCV), 2020
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
435
74
0
14 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning
Variable-Shot Adaptation for Online Meta-Learning
Tianhe Yu
Xinyang Geng
Chelsea Finn
Sergey Levine
CLLOffRL
148
4
0
14 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
270
7
0
02 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2020
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
212
32
0
30 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Parrot: Data-Driven Behavioral Priors for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Avi Singh
Huihan Liu
G. Zhou
Albert Yu
Nicholas Rhinehart
Sergey Levine
OffRLOnRL
258
159
0
19 Nov 2020
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Rasmus Berg Palm
Elias Najarro
S. Risi
202
3
0
13 Nov 2020
FS-HGR: Few-shot Learning for Hand Gesture Recognition via
  ElectroMyography
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyographyIEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2020
E. Rahimian
Soheil Zabihi
A. Asif
Dario Farina
S. F. Atashzar
Arash Mohammadi
134
110
0
11 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent
  Reinforcement Learning
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020
Dong-Ki Kim
Miao Liu
Matthew D Riemer
Chuangchuang Sun
Marwa Abdulhai
Golnaz Habibi
Sebastian Lopez-Cot
Gerald Tesauro
Jonathan P. How
537
65
0
31 Oct 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot
  Relational Triple Extraction
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple ExtractionInternational Conference on Computational Linguistics (COLING), 2020
Haiyang Yu
Ningyu Zhang
Shumin Deng
Hongbin Ye
Wei Zhang
Huajun Chen
164
52
0
30 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State ModelsConference on Robot Learning (CoRL), 2020
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
260
36
0
26 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance
  Metric Learning and Behavior Regularization
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li
Rui Yang
Dijun Luo
OffRL
329
8
0
02 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
K. J. Joseph
V. Balasubramanian
CLL
186
60
0
01 Oct 2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules
Few-shot Learning with LSSVM Base Learner and Transductive Modules
Haoqing Wang
Zhihong Deng
140
3
0
12 Sep 2020
Region Comparison Network for Interpretable Few-shot Image
  Classification
Region Comparison Network for Interpretable Few-shot Image Classification
Z. Xue
Lixin Duan
Wen Li
Lin Chen
Jiebo Luo
164
17
0
08 Sep 2020
Sparse Meta Networks for Sequential Adaptation and its Application to
  Adaptive Language Modelling
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
CLLOffRL
211
5
0
03 Sep 2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Yet Meta Learning Can Adapt Fast, It Can Also Break EasilySDM (SDM), 2020
Han Xu
Yaxin Li
Xiaorui Liu
Hui Liu
Shucheng Zhou
AAML
253
14
0
02 Sep 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical
  Guarantee
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Junyi Li
Bin Gu
Heng-Chiao Huang
172
42
0
01 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
366
117
0
13 Aug 2020
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
214
25
0
06 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLMBDL
245
60
0
30 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot
  Learning
How to trust unlabeled data? Instance Credibility Inference for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yikai Wang
Li Zhang
Xingtai Lv
Yanwei Fu
330
54
0
15 Jul 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
216
16
0
21 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in
  Generative Models
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
154
39
0
18 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni
Jarred Barber
Jan-Willem van de Meent
Frank Wood
VLMSSL
613
61
0
17 Jun 2020
Learning-to-Learn Personalised Human Activity Recognition Models
Learning-to-Learn Personalised Human Activity Recognition Models
A. Wijekoon
Nirmalie Wiratunga
HAI
111
5
0
12 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver
Doina Precup
OffRL
204
8
0
12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model
  Identification and Experience Relabeling
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling
Russell Mendonca
Xinyang Geng
Chelsea Finn
Sergey Levine
OODOffRL
273
40
0
12 Jun 2020
Compositional Few-Shot Recognition with Primitive Discovery and
  Enhancing
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Yixiong Zou
Shanghang Zhang
Ke Chen
Yonghong Tian
Yaowei Wang
J. M. F. Moura
180
32
0
12 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
Dynamic Memory Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Jian Sun
Xiao-Dan Zhu
128
82
0
12 May 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Jason Krone
Yi Zhang
Mona T. Diab
VLM
202
50
0
22 Apr 2020
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
Rami Ben-Ari
Mor Shpigel
Ophir Azulai
Udi Barzelay
Daniel Rotman
ViT
214
27
0
21 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved
  Adversarial Meta-Learning
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning
Hongcai Xu
J. Bao
Gaojie Zhang
188
8
0
19 Apr 2020
Knowledge-graph based Proactive Dialogue Generation with Improved
  Meta-Learning
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
Hongcai Xu
J. Bao
Junqing Wang
148
9
0
19 Apr 2020
Meta-Meta Classification for One-Shot Learning
Meta-Meta Classification for One-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Arkabandhu Chowdhury
Dipak Chaudhari
Swarat Chaudhuri
C. Jermaine
173
5
0
17 Apr 2020
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