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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
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 87 0 0 21 Nov 2023
Point, Segment and Count: A Generalized Framework for Object Counting Zhizhong Huang Mingliang Dai Yi Zhang Junping Zhang Hongming Shan 81 21 0 21 Nov 2023
Hierarchical Meta-learning-based Adaptive Controller Fengze Xie Guanya Shi Michael O'Connell Yisong Yue Soon-Jo Chung 62 4 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 115 6 0 20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 89 12 0 19 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 105 1 0 19 Nov 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels Shu-Lin Xu Yifan Sun Faen Zhang Anqi Xu Xiu-Shen Wei Yi Yang 72 6 0 18 Nov 2023
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting Hefeng Wu Yandong Chen Lingbo Liu Tianshui Chen Keze Wang Liang Lin 83 1 0 16 Nov 2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations Wenjie Mo Lyne Tchapmi Qin Liu Jiong Wang Jun Yan Chaowei Xiao Muhao Chen Muhao Chen AAML 146 20 0 16 Nov 2023
The Transient Nature of Emergent In-Context Learning in Transformers Aaditya K. Singh Stephanie C. Y. Chan Ted Moskovitz Erin Grant Andrew M. Saxe Felix Hill 144 44 0 14 Nov 2023
Dual-channel Prototype Network for few-shot Classification of Pathological Images Hao Quan Xinjia Li Dayu Hu Tianhang Nan Xiaoyu Cui 64 0 0 14 Nov 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 90 5 0 13 Nov 2023
An introduction to reinforcement learning for neuroscience Kristopher T. Jensen OOD OffRL AI4CE 47 1 0 13 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 101 5 0 13 Nov 2023
MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization Han-Byul Kim Joo Hyung Lee Sungjoo Yoo Hong-Seok Kim MQ 65 3 0 12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 66 0 0 12 Nov 2023
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination Lu Wen Songan Zhang E. Tseng Huei Peng VLM OffRL 76 6 0 11 Nov 2023
Semantic-aware Video Representation for Few-shot Action Recognition Yutao Tang Benjamin Bejar René Vidal 92 7 0 10 Nov 2023
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models Matteo Zecchin Kai Yu Osvaldo Simeone 86 12 0 10 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 86 0 0 09 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 98 12 0 09 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 81 0 0 09 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 95 13 0 09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 61 2 0 09 Nov 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 64 1 0 08 Nov 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model Cheng Cheng Lin Song Ruoyi Xue Hang Wang Hongbin Sun Yixiao Ge Ying Shan VLM ObjD 118 26 0 07 Nov 2023
Learning to Learn for Few-shot Continual Active Learning Stella Ho Ming Liu Shang Gao Longxiang Gao KELM BDL VLM CLL 58 3 0 07 Nov 2023
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation Maxwell J. Jacobson Yexiang Xue 83 0 0 07 Nov 2023
Context Shift Reduction for Offline Meta-Reinforcement Learning Yunkai Gao Rui Zhang Jiaming Guo Fan Wu Qi Yi ... Zidong Du Xingui Hu Qi Guo Ling Li Yunji Chen OffRL 59 20 0 07 Nov 2023
Kindness in Multi-Agent Reinforcement Learning Farinaz Alamiyan Harandi Mersad Hassanjani Pouria Ramazi 41 0 0 06 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 69 7 0 06 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 94 1 0 06 Nov 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 65 1 0 05 Nov 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis Hai Su Jiajun Hu Songsen Yu AI4TS 62 2 0 04 Nov 2023
Towards model-free RL algorithms that scale well with unstructured data Joseph Modayil Zaheer Abbas OffRL 52 3 0 03 Nov 2023
Causal inference with Machine Learning-Based Covariate Representation Yuhang Wu Jinghai He Zeyu Zheng CML 61 0 0 03 Nov 2023
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition Guangyue Xu Parisa Kordjamshidi Joyce Chai 67 2 0 02 Nov 2023
Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica Daniel Jarrett Mihaela van der Schaar CML OffRL OOD 125 35 0 02 Nov 2023
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification Chun Liu Longwei Yang Zheng Li Wei Yang Zhigang Han Jianzhong Guo Junyong Yu 55 9 0 02 Nov 2023
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? Ngoc Dang Nguyen Wei Tan Lan Du Wray Buntine Richard Beare Changyou Chen 69 2 0 02 Nov 2023
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment Annie S. Chen Govind Chada Laura M. Smith Archit Sharma Zipeng Fu Sergey Levine Chelsea Finn 96 8 0 02 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 70 7 0 02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 79 2 0 02 Nov 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval Jiayi Chen H. Dai Bo Dai Aidong Zhang Wei Wei 87 2 0 01 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection Min Jae Jung S. Han Joohee Kim 129 14 0 01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 157 6 0 01 Nov 2023
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis Yingshu Li Yunyi Liu Zhanyu Wang Xinyu Liang Lei Wang Lingqiao Liu Leyang Cui Zhaopeng Tu Longyue Wang Luping Zhou ELM LM&MA 92 39 0 31 Oct 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 70 0 0 30 Oct 2023
Meta-Learning Strategies through Value Maximization in Neural Networks Rodrigo Carrasco-Davis Javier Masís Andrew M. Saxe 68 1 0 30 Oct 2023
A Survey on Knowledge Editing of Neural Networks Vittorio Mazzia Alessandro Pedrani Andrea Caciolai Kay Rottmann Davide Bernardi KELM 123 25 0 30 Oct 2023