How to train your MAML

22 October 2018

Amos Storkey

Papers citing "How to train your MAML"

50 / 127 papers shown

Title
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Dubing Chen Huan Zheng Jin Fang Xingping Dong Xianfei Li Wenlong Liao Tao He Pai Peng Jianbing Shen 42 0 0 17 Apr 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 2 0 22 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 49 1 0 20 Jan 2025
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning Y. Luo Yuezihan Jiang Yinjie Jiang Gaode Chen Jiadong Wang Kaigui Bian Peiyi Li Qi Zhang 32 0 0 18 Nov 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning Sanchit Sinha Yuguang Yue Victor Soto Mayank Kulkarni Jianhua Lu Aidong Zhang LRM 46 4 0 19 May 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification S. Ghose Yang Wang 3DPC 41 0 0 01 Apr 2024
Vision-Based Hand Gesture Customization from a Single Demonstration Soroush Shahi Cori Tymoszek Park Richard Kang Asaf Liberman Oron Levy Jun Gong Abdelkareem Bedri Gierad Laput 19 2 0 13 Feb 2024
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 29 1 0 16 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 28 8 0 31 Jul 2023
Variational Prediction Alexander A. Alemi Ben Poole BDL 14 2 0 14 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 44 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 27 0 0 18 Jun 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 29 31 0 06 Jun 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 34 6 0 25 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 21 12 0 24 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 37 15 0 04 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 26 2 0 29 Mar 2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI Nikhil J. Dhinagar Vignesh Santhalingam Katherine E. Lawrence Emily Laltoo Paul M. Thompson 18 3 0 14 Mar 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 36 7 0 22 Feb 2023
Mask-guided BERT for Few Shot Text Classification Wenxiong Liao Zheng Liu Haixing Dai Zihao Wu Yiyang Zhang ... Dajiang Zhu Tianming Liu Sheng Li Xiang Li Hongmin Cai VLM 47 39 0 21 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Chenyu You VLM LRM 23 15 0 16 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 32 16 0 08 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 20 0 0 04 Feb 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 35 5 0 30 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 25 6 0 30 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 28 0 0 19 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 32 5 0 17 Jan 2023
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses Yang Shi Guannan Liang Young-joo Chung 30 0 0 02 Dec 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty G. Wichern C. Laughman 43 12 0 14 Nov 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 32 0 0 31 Oct 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 24 9 0 31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 30 0 0 31 Oct 2022
Auxiliary task discovery through generate-and-test Banafsheh Rafiee Sina Ghiassian Jun Jin R. Sutton Jun Luo Adam White 21 0 0 25 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 15 7 0 23 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability Zhaofeng Wu IV RobertL.Logan Pete Walsh Akshita Bhagia Dirk Groeneveld Sameer Singh Iz Beltagy VLM 41 12 0 19 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 23 1 0 13 Oct 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 32 0 0 10 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 37 1 0 20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 18 5 0 18 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 76 24 0 01 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 24 60 0 04 Aug 2022