A Simple Neural Attentive Meta-Learner

11 July 2017

Pieter Abbeel

Papers citing "A Simple Neural Attentive Meta-Learner"

50 / 58 papers shown

Title
Transductive One-Shot Learning Meet Subspace Decomposition Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 57 1 0 01 Apr 2025
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 48 7 0 04 Feb 2024
Adaptive Growth: Real-time CNN Layer Expansion Yunjie Zhu Yunhao Chen 33 0 0 06 Sep 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 25 2 0 15 May 2023
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 33 16 0 19 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 35 0 0 14 Oct 2022
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 54 30 0 05 Aug 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 16 0 0 16 Jun 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
LEADS: Learning Dynamical Systems that Generalize Across Environments Yuan Yin Ibrahim Ayed Emmanuel de Bézenac Nicolas Baskiotis Patrick Gallinari OOD 21 31 0 08 Jun 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 44 61 0 14 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 6 0 02 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 31 29 0 30 Nov 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction Haiyang Yu Ningyu Zhang Shumin Deng Hongbin Ye Wei Zhang Huajun Chen 8 49 0 30 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 33 10 0 02 Oct 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee Junyi Li Bin Gu Heng-Chiao Huang 24 41 0 01 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 38 104 0 13 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 35 16 0 21 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Hongcai Xu J. Bao Gaojie Zhang 27 8 0 19 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 23 205 0 31 Mar 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 27 160 0 26 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 179 98 0 17 Mar 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 30 63 0 20 Dec 2019
Zero-shot Text Classification With Generative Language Models Raul Puri Bryan Catanzaro VLM 24 104 0 10 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning Tomaso Fontanini Eleonora Iotti Luca Donati Andrea Prati GAN AI4CE 47 23 0 05 Dec 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 29 24 0 18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Junfeng Fang Siliang Tang Haizhou Shi Fei Wu Yueting Zhuang William Yang Wang SSL 46 68 0 18 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 16 108 0 14 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 101 1,132 0 24 Oct 2019
Bottom-Up Meta-Policy Search Luckeciano C. Melo Marcos R. O. A. Máximo A. Cunha 39 6 0 22 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 16 273 0 18 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 16 118 0 09 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 54 532 0 26 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization Tomaso Fontanini Eleonora Iotti Andrea Prati GAN 39 4 0 17 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 45 844 0 10 Sep 2019
Meta Learning for Task-Driven Video Summarization Xuelong Li Hongli Li Yongsheng Dong 24 21 0 29 Jul 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 30 1 0 10 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 27 8 0 01 Jun 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 23 17 0 24 May 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 39 16 0 31 Dec 2018
Similarity R-C3D for Few-shot Temporal Activity Detection Huijuan Xu Bingyi Kang Ximeng Sun Jiashi Feng Kate Saenko Trevor Darrell 24 11 0 25 Dec 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 63 0 19 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 36 24 0 15 Nov 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 144 0 14 Aug 2018
RepMet: Representative-based metric learning for classification and one-shot object detection Leonid Karlinsky J. Shtok Sivan Harary Eli Schwartz Mattias Marder Rogerio Feris Raja Giryes A. Bronstein VLM ObjD 20 318 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 228 500 0 11 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification Xiang Jiang Mohammad Havaei Gabriel Chartrand Hassan Chouaib Thomas Vincent Andrew Jesson Nicolas Chapados Stan Matwin VLM 14 18 0 03 Jun 2018