v1v2v3 (latest)

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

9 March 2017

Pieter Abbeel

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

50 / 5,505 papers shown

Title
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification Minglei Yuan Cunhao Cai Tong Lu ViT 14 0 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 79 52 0 16 Jun 2020
GO Hessian for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Jianqiao Li Junya Chen Lawrence Carin 51 0 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 102 1,016 0 16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 94 11 0 15 Jun 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 103 110 0 15 Jun 2020
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning K. Mukaiyama Issei Sato Masashi Sugiyama 26 2 0 15 Jun 2020
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration Jin Zhang Jianhao Wang Hao Hu Tong Chen Yingfeng Chen Changjie Fan Chongjie Zhang OffRL 67 27 0 15 Jun 2020
Provably Efficient Model-based Policy Adaptation Yuda Song Aditi Mavalankar Wen Sun Sicun Gao TTA OffRL 74 10 0 14 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 84 35 0 14 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 123 166 0 14 Jun 2020
Proximal Mapping for Deep Regularization Mao Li Yingyi Ma Xinhua Zhang 52 3 0 14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 50 8 0 13 Jun 2020
UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation Siddhesh Khandelwal Raghav Goyal Leonid Sigal VLM 117 2 0 12 Jun 2020
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity Adrien Ecoffet Jeff Clune Joel Lehman 88 16 0 12 Jun 2020
Learning-to-Learn Personalised Human Activity Recognition Models A. Wijekoon Nirmalie Wiratunga HAI 55 4 0 12 Jun 2020
Learning Causal Models Online Khurram Javed Martha White Yoshua Bengio CML 75 33 0 12 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning Kiran Lekkala Laurent Itti OOD 71 7 0 12 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 48 10 0 12 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning Safa Alver Doina Precup OffRL 47 8 0 12 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 82 109 0 12 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 91 8 0 12 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 100 40 0 12 Jun 2020
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch Michael Wan Tanmay Gangwani Jian-wei Peng 61 19 0 12 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 68 32 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 73 110 0 12 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 76 34 0 11 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 107 90 0 11 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani Shirkoohi Pouya Hamadanian Arash Nasr-Esfahany Mohammad Alizadeh 110 47 0 11 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 91 236 0 11 Jun 2020
Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework Wei Shen Yuanying Cai Longbo Huang Jian Li OffRL 80 1 0 11 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 98 31 0 10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Andrei Boiarov O. Granichin O. Granichina 118 6 0 09 Jun 2020
Meta-Learning Bandit Policies by Gradient Ascent Branislav Kveton Martin Mladenov Chih-Wei Hsu Manzil Zaheer Csaba Szepesvári Craig Boutilier 76 9 0 09 Jun 2020
Learning to Stop While Learning to Predict Xinshi Chen H. Dai Yu Li Xin Gao Le Song OOD 76 48 0 09 Jun 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization Daniel Golovin Qiuyi Zhang 87 75 0 08 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning Jin-Hwa Kim Junyoung Park Yongseok Choi 75 1 0 08 Jun 2020
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction Weiguo Pian Yingbo Wu Ziyi Kou 22 0 0 07 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 78 131 0 07 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 95 7 0 07 Jun 2020
Real-Time Model Calibration with Deep Reinforcement Learning Yuan Tian M. A. Chao Chetan S. Kulkarni K. Goebel Olga Fink AI4CE 81 50 0 07 Jun 2020
Learning to Model Opponent Learning Ian Davies Zheng Tian Jun Wang 24 2 0 06 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 107 241 0 06 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 91 169 0 06 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 74 29 0 05 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 134 7 0 05 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 82 89 0 05 Jun 2020
Differentiable Linear Bandit Algorithm Kaige Yang Laura Toni 70 6 0 04 Jun 2020
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion Josh Roy George Konidaris 78 16 0 04 Jun 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 97 8 0 04 Jun 2020