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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
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 62 12 0 28 Jun 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 105 0 0 28 Jun 2023
Unsupervised Episode Generation for Graph Meta-learning Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 82 0 0 27 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 67 17 0 27 Jun 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning Jonathan Lee Annie Xie Aldo Pacchiano Yash Chandak Chelsea Finn Ofir Nachum Emma Brunskill OffRL 118 86 0 26 Jun 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations A. Jain Lucas Lehnert Irina Rish Glen Berseth 91 16 0 26 Jun 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception Junwon Seo Jungwi Mun Taekyung Kim 73 4 0 26 Jun 2023
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation Siqi Lai Weijia Zhang Hao Liu 45 5 0 26 Jun 2023
Few-Shot Continual Learning via Flat-to-Wide Approaches M. A. Ma'sum Mahardhika Pratama E. Lughofer Lin Liu Habibullah Habibullah Ryszard Kowalczyk VLM CLL 92 4 0 26 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma J.N. Zhang 133 2 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 77 47 0 25 Jun 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery Xiao Zhang Hai Zhang Hongtu Zhou Chang Huang Di Zhang Chen Ye Junqiao Zhao OffRL 85 5 0 24 Jun 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 117 31 0 24 Jun 2023
Is Pre-training Truly Better Than Meta-Learning? Alycia Lee P. Yu Saumya Goyal Yu-Xiong Wang Oluwasanmi Koyejo 90 5 0 24 Jun 2023
Maintaining Plasticity in Deep Continual Learning Shibhansh Dohare J. F. Hernandez-Garcia Parash Rahman A. Rupam Mahmood Richard S. Sutton KELM CLL 97 30 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 92 10 0 23 Jun 2023
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning Zhongzhi Yu Yang Zhang Kaizhi Qian Y. Fu Yingyan Lin 117 13 0 23 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 86 1 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) Henger Li Tianyi Xu Tao Li Yunian Pan Quanyan Zhu Zizhan Zheng AAML FedML 69 2 0 23 Jun 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 137 35 0 22 Jun 2023
Memristive Reservoirs Learn to Learn Ruomin Zhu Jason K. Eshraghian Z. Kuncic 66 7 0 22 Jun 2023
Continual Learners are Incremental Model Generalizers Jaehong Yoon Sung Ju Hwang Yu Cao CLL 86 5 0 21 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 121 17 0 20 Jun 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 74 18 0 19 Jun 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design Carl Edwards Aakanksha Naik Tushar Khot Martin D. Burke Heng Ji Tom Hope 130 16 0 19 Jun 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 83 1 0 19 Jun 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling Minghe Zhang Chaosheng Dong Jinmiao Fu Tianchen Zhou Jia Liang ... Bo Liu Michinari Momma Bryan Wang Yan Gao Yi Sun 79 3 0 19 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 66 0 0 18 Jun 2023
Acceleration in Policy Optimization Veronica Chelu Tom Zahavy A. Guez Doina Precup Sebastian Flennerhag 93 0 0 18 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 141 26 0 18 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 84 21 0 18 Jun 2023
Universal Information Extraction with Meta-Pretrained Self-Retrieval Yu Bowen Mengcheng Fang Tingwen Liu Haiyang Yu Zhongkai Hu Fei Huang Yongbin Li Bin Wang RALM SSL 81 8 0 18 Jun 2023
Neural Priming for Sample-Efficient Adaptation Matthew Wallingford Vivek Ramanujan Alex Fang Aditya Kusupati Roozbeh Mottaghi Aniruddha Kembhavi Ludwig Schmidt Ali Farhadi VLM 191 15 0 16 Jun 2023
Meta-Personalizing Vision-Language Models to Find Named Instances in Video Chun-Hsiao Yeh Bryan C. Russell Josef Sivic Fabian Caba Heilbron Simon Jenni VLM MLLM 101 11 0 16 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 77 0 0 16 Jun 2023
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting Lifan Zhao Shuming Kong Yanyan Shen AIFin 97 25 0 16 Jun 2023
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation Xinyuan Ji Xu Zhang Wei Xi Haozhi Wang Olga Gadyatskaya Yinchuan Li 59 1 0 16 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 63 0 0 16 Jun 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 90 0 0 16 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yongqian Li Jiabao Wang Zhiteng Wang 62 1 0 16 Jun 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis Łukasz Dudziak Da Li Timothy M. Hospedales 77 4 0 15 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 75 6 0 15 Jun 2023
Active Representation Learning for General Task Space with Applications in Robotics Yifang Chen Ying Huang S. Du Kevin Jamieson Guanya Shi SSL 73 3 0 15 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 78 1 0 15 Jun 2023
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion Qiao Qiao Yuepei Li Kang Zhou Qi Li 62 0 0 15 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qinglai Wei Xiushan Nie Yuling Ma Yilong Yin 80 0 0 14 Jun 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning Emmy Liu S. Suri Tong Mu Allan Zhou Chelsea Finn LLMAG LM&Ro 44 2 0 14 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction Xu Wang Huan Zhao Weiwei Tu Quanming Yao AI4CE 93 37 0 13 Jun 2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes Luca Sabbioni Francesco Corda Marcello Restelli 54 0 0 13 Jun 2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images Pan Pan Zhiwen Fan Brandon Yushan Feng Peihao Wang Chenxing Li Zhangyang Wang 136 19 0 13 Jun 2023