On First-Order Meta-Learning Algorithms

8 March 2018

Papers citing "On First-Order Meta-Learning Algorithms"

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Title
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning Zhongzhi Yu Yang Zhang Kaizhi Qian Y. Fu Yingyan Lin 33 13 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 29 1 0 23 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 27 0 0 18 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 44 19 0 18 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 22 0 0 16 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qinglai Wei Xiushan Nie Yuling Ma Yilong Yin 18 0 0 14 Jun 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Louis Serrano Lise Le Boudec Armand K. Koupai Thomas X. Wang Yuan Yin Jean-Noël Vittaut Patrick Gallinari AI4CE 21 32 0 12 Jun 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 16 10 0 09 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang Yu Zhang James T. Kwok VLM OffRL 44 17 0 01 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 37 44 0 31 May 2023
AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation Thu Nguyen-Phuoc Gabriel Schwartz Yuting Ye Stephen Lombardi Lei Xiao 32 6 0 30 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 26 6 0 30 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 18 1 0 29 May 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
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 22 13 0 25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization Zheyan Shen Han Yu Peng Cui Jiashuo Liu Xingxuan Zhang Linjun Zhou Furui Liu OOD 19 1 0 25 May 2023
Improving Convergence and Generalization Using Parameter Symmetries Bo-Lu Zhao Robert Mansel Gower Robin G. Walters Rose Yu MoMe 33 13 0 22 May 2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning Ruan van der Merwe Herman Kamper CLL KELM 50 0 0 22 May 2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation Yuanen Zhou Xin Chen Yanrong Guo Shijie Hao Richang Hong Qi Tian CLL 24 4 0 18 May 2023
RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario Sanyam Jain 11 1 0 16 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking Shengchao Hu Li Shen Ya-Qin Zhang Dacheng Tao OffRL 28 14 0 16 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez G. Ochoa-Ruiz 29 2 0 15 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 33 5 0 12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 56 17 0 12 May 2023
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming Batool Salehi Utku Demir Debashri Roy Suyasha Pradhan Jennifer Dy Stratis Ioannidis Kaushik R. Chowdhury 11 10 0 10 May 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 21 7 0 10 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 67 1 0 03 May 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 18 6 0 25 Apr 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer Hao Tang Songhua Liu Tianwei Lin Shaoli Huang Fu Li Dongliang He Xinchao Wang 35 9 0 24 Apr 2023
GamutMLP: A Lightweight MLP for Color Loss Recovery Hoang Le Brian L. Price Scott D. Cohen M. S. Brown 16 6 0 23 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 26 8 0 20 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 25 16 0 11 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 26 4 0 11 Apr 2023
Meta Compositional Referring Expression Segmentation Li Xu Mark He Huang Xindi Shang Zehuan Yuan Ying Sun Jun Liu 39 22 0 10 Apr 2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning Zifeng Wang Cao Xiao Jimeng Sun 16 17 0 07 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 23 0 0 06 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Zeyin Song Yifan Zhao Yujun Shi Peixi Peng Liuliang Yuan Yonghong Tian CLL 19 58 0 02 Apr 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 21 9 0 31 Mar 2023
Distributed Neural Representation for Reactive in situ Visualization Qi Wu J. Insley V. Mateevitsi S. Rizzi M. Papka Kwan-Liu Ma 24 1 0 28 Mar 2023
Boosting Few-Shot Text Classification via Distribution Estimation Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Fenglong Ma Xiao-Ming Wu Hongyang Chen Hong Yu Xianchao Zhang OODD VLM 22 12 0 26 Mar 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 49 14 0 24 Mar 2023
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization Kaihang Pan Juncheng Billy Li Hongye Song Jun Lin Xiaozhong Liu Siliang Tang OffRL 38 10 0 22 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 47 4 0 20 Mar 2023
Enhancing Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface Nguyen Quang Hieu D. Hoang Diep N. Nguyen Van-Dinh Nguyen Yong Xiao E. Dutkiewicz 14 0 0 19 Mar 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning Wenjian Wang Lijuan Duan Yuxi Wang Junsong Fan Zhi Gong Zhaoxiang Zhang 26 5 0 16 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 56 0 16 Mar 2023