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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"

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Title
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 107 51 0 13 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 78 1 0 12 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 82 6 0 12 Oct 2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling Ruiyuan Kang D. Kyritsis P. Liatsis AI4CE PINN 75 5 0 12 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis Mohamed Abdelsamad George Eskandar Ahmed Hendawy Matthias Kayser B. Yang Jürgen Beyerer ObjD 92 2 0 11 Oct 2022
Discovered Policy Optimisation Chris Xiaoxuan Lu J. Kuba Alistair Letcher Luke Metz Christian Schroeder de Witt Jakob N. Foerster OffRL 92 79 0 11 Oct 2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market G. Ruan Jianxiao Wang H. Zhong Q. Xia C. Kang 27 6 0 11 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 96 17 0 11 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 67 4 0 11 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 91 4 0 11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 34 3 0 11 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 125 17 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
Meta-Learning with Self-Improving Momentum Target Jihoon Tack Jongjin Park Hankook Lee Jaeho Lee Jinwoo Shin LRM 126 12 0 11 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training Adrian Bulat Ricardo Guerrero Brais Martínez Georgios Tzimiropoulos 96 31 0 10 Oct 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 79 0 0 10 Oct 2022
Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen Zehao Xiao Xiantong Zhen Cees G. M. Snoek Marcel Worring OOD 120 7 0 10 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 87 28 0 10 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 59 66 0 10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 93 11 0 09 Oct 2022
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning Yao Mu Yuzheng Zhuang Fei Ni Bin Wang Jianyu Chen Jianye Hao Ping Luo 36 2 0 09 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 74 20 0 09 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 113 90 0 08 Oct 2022
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 162 68 0 08 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 145 34 0 08 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models Omiros Pantazis Gabriel J. Brostow Kate E. Jones Oisin Mac Aodha VLM 82 42 0 07 Oct 2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings Andrew Silva Pradyumna Tambwekar Matthew C. Gombolay FedML 76 0 0 07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 85 3 0 07 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu Guanghui Zhu Changhua Meng Shiwen Cui ZhenZhe Ying Weiqiang Wang GU Ming Yihua Huang AAML 99 14 0 07 Oct 2022
Robotic Control Using Model Based Meta Adaption Karam Daaboul Joel Ikels Marius Zöllner 66 2 0 07 Oct 2022
Learning to Learn and Sample BRDFs Chen Liu Michael Fischer Tobias Ritschel AI4CE 108 14 0 07 Oct 2022
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality Haozhe Chi Minghua Yang Junhao Zhu Guanhong Wang Gaoang Wang 56 3 0 07 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 119 11 0 06 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay Abhishek Gupta Dibya Ghosh Sergey Levine Pulkit Agrawal OOD 88 14 0 06 Oct 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 106 15 0 06 Oct 2022
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning Xiajun Jiang Zhiyuan Li R. Missel Md Shakil Zaman B. Zenger W. Good Rob S. MacLeod J. Sapp Linwei Wang MedIm 36 2 0 06 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022
Meta Reinforcement Learning for Optimal Design of Legged Robots Álvaro Belmonte-Baeza Joonho Lee Giorgio Valsecchi Marco Hutter 104 18 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 80 3 0 05 Oct 2022
On Neural Consolidation for Transfer in Reinforcement Learning Valentin Guillet Dennis G. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson CLL 54 0 0 05 Oct 2022
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning Valentin Guillet D. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson 71 1 0 05 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 104 5 0 05 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Helen Zhou LMTD OffRL 89 28 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 95 9 0 05 Oct 2022
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija Apoorva Sharma Navid Azizan OOD UQCV 76 5 0 04 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 100 78 0 04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 130 6 0 03 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 96 1 0 03 Oct 2022
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond Di Wu Jie Yang Mohamad Sawan OOD MedIm 79 21 0 03 Oct 2022
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement Hongsheng Wang Xiaoqi Zhao Youwei Pang Jinqing Qi VLM 75 2 0 03 Oct 2022