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
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks Riccardo Marini Sangwoo Park Osvaldo Simeone C. Buratti 64 7 0 13 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 71 0 13 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 35 44 0 12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 16 9 0 12 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 31 32 0 11 Jul 2022
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation Zejiang Hou Julian Salazar George Polovets 35 14 0 07 Jul 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 58 11 0 06 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments P. JishnuJaykumar Yu-Wei Chao Yu Xiang 29 11 0 06 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 41 15 0 06 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan Fahad Shahbaz Khan M. Shah 49 50 0 05 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe Willie Neiswanger P. Xie Eric P. Xing AI4CE 41 30 0 05 Jul 2022
Image Coding for Machines with Omnipotent Feature Learning Ruoyu Feng Xin Jin Zongyu Guo Runsen Feng Yixin Gao Tianyu He Zhizheng Zhang Simeng Sun Zhibo Chen VLM 40 36 0 05 Jul 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 36 12 0 05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 66 21 0 04 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 131 32 0 04 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 45 46 0 04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 51 6 0 03 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 71 58 0 02 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 49 31 0 02 Jul 2022
Domain Agnostic Few-shot Learning for Speaker Verification Seunghan Yang Debasmit Das Jang Hyun Cho Hyoungwoo Park Sungrack Yun OOD 19 7 0 28 Jun 2022
Leveraging Language for Accelerated Learning of Tool Manipulation Allen Z. Ren Bharat Govil Tsung-Yen Yang Karthik Narasimhan Anirudha Majumdar LM&Ro 33 37 0 27 Jun 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 47 5 0 25 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 51 3 0 25 Jun 2022
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation Ji-Sun Moon Debasmit Das C. S. George Lee 31 6 0 24 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 38 48 0 23 Jun 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 41 8 0 21 Jun 2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences Han Shen Tianyi Chen 62 15 0 21 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 56 101 0 19 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 37 8 0 18 Jun 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 43 8 0 17 Jun 2022
Fast Finite Width Neural Tangent Kernel Roman Novak Jascha Narain Sohl-Dickstein S. Schoenholz AAML 32 54 0 17 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 46 27 0 17 Jun 2022
Principled Acceleration of Iterative Numerical Methods Using Machine Learning S. Arisaka Qianxiao Li 32 5 0 17 Jun 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
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models A. Davody David Ifeoluwa Adelani Thomas Kleinbauer Dietrich Klakow 38 4 0 15 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 43 12 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 37 55 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 43 8 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 44 5 0 14 Jun 2022
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites Jingyang Zhang Peng Xue Ran Gu Yuning Gu Mianxin Liu Yongsheng Pan Zhiming Cui Jiawei Huang Lei Ma Dinggang Shen CLL 35 8 0 14 Jun 2022
Transformers are Meta-Reinforcement Learners Luckeciano C. Melo OffRL 45 50 0 14 Jun 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L. Gao J. Ye Haian Yin Shangzhi Zeng Jin Zhang 32 24 0 13 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 40 4 0 11 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 45 22 0 10 Jun 2022
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift Paulina Tomaszewska Christoph H. Lampert 45 0 0 10 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 40 27 0 10 Jun 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 36 8 0 09 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 43 30 0 09 Jun 2022
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation Zi-Yi Dou Nanyun Peng 38 22 0 09 Jun 2022