On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
Photon: Federated LLM Pre-Training Lorenzo Sani Alex Iacob Zeyu Cao Royson Lee Bill Marino ... Dongqi Cai Zexi Li Wanru Zhao Xinchi Qiu Nicholas D. Lane AI4CE 46 7 0 05 Nov 2024
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups Razvan-Alexandru Smadu David-Gabriel Ion Dumitru-Clementin Cercel Florin-Catalin Pop Mihaela-Claudia Cercel 52 1 0 03 Nov 2024
Beyond the Boundaries of Proximal Policy Optimization Charlie B. Tan Edan Toledo Benjamin Ellis Jakob Foerster Ferenc Huszár 30 0 0 01 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 78 6 0 26 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 44 5 0 22 Oct 2024
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization Min Wen Chengchang Liu Ahmed Abdelmoniem Yipeng Zhou Yuedong Xu 46 0 0 18 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts Hongcheng Gao Tianyu Pang Chao Du Taihang Hu Zhijie Deng Min Lin DiffM 56 10 0 16 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 46 0 0 14 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 48 1 0 10 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 70 0 0 08 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania Marko Mihajlovic Sergey Prokudin Jacek Tabor Przemysław Spurek 40 1 0 07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models Alex Iacob Lorenzo Sani Meghdad Kurmanji William F. Shen Xinchi Qiu Dongqi Cai Yan Gao Nicholas D. Lane VLM 300 0 0 07 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification Yunchuan Guan Yu Liu Ketong Liu Ke Zhou Zhiqi Shen 38 0 0 03 Oct 2024
Learning to learn ecosystems from limited data -- a meta-learning approach Zheng-Meng Zhai Bryan Glaz Mulugeta Haile Ying-Cheng Lai 36 1 0 02 Oct 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 48 2 0 02 Oct 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang Xinlei Chen Jialiang Zhao Kaiming He 49 35 0 30 Sep 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang MU 50 7 0 29 Sep 2024
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning Yu Fu Jie He Yifan Yang Qun Liu Deyi Xiong OffRL LRM 55 0 0 27 Sep 2024
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles Hanwen Zhang Dusit Niyato Wei Zhang Changyuan Zhao Hongyang Du Abbas Jamalipour Sumei Sun Yiyang Pei AI4CE 53 2 0 24 Sep 2024
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation Hanbo Bi Yingchao Feng Wenhui Diao Peijin Wang Yongqiang Mao Kun Fu Hongqi Wang Xian Sun VLM 47 3 0 16 Sep 2024
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 122 3 0 15 Sep 2024
Rethinking Meta-Learning from a Learning Lens Wenwen Qiang Jingyao Wang Chuxiong Sun Hui Xiong Jiangmeng Li 88 1 0 13 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 87 0 0 09 Sep 2024
WarpAdam: A new Adam optimizer based on Meta-Learning approach Chengxi Pan Junshang Chen Jingrui Ye ODL 36 0 0 06 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 41 1 0 05 Sep 2024
Vision-Language Navigation with Continual Learning Zhiyuan Li Yanfeng Lv Ziqin Tu Di Shang Hong Qiao 56 2 0 04 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 92 0 0 04 Sep 2024
Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing George Harabin Amir M. Mirzendehdel M. Behandish AI4CE 49 0 0 30 Aug 2024
Dynamics of Meta-learning Representation in the Teacher-student Scenario Hui Wang Cho Tung Yip Bo Li 55 0 0 22 Aug 2024
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation Piraveen Sivakumar Paul Janson Jathushan Rajasegaran Thanuja D. Ambegoda 71 1 0 09 Aug 2024
Learn To Learn More Precisely Runxi Cheng Yongxian Wei Xianglong He Wanyun Zhu Songsong Huang Fei Richard Yu Fei Ma Chun Yuan 57 0 0 08 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps Yifan Zhu Pranay Thangeda Erica Tevere Ashish Goel Erik Kramer Hari Nayar Melkior Ornik Kris K. Hauser 39 0 0 06 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 72 48 0 01 Aug 2024
Black box meta-learning intrinsic rewards for sparse-reward environments Octavio Pappalardo Rodrigo Ramele Juan Miguel Santos OffRL 61 0 0 31 Jul 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 68 0 0 28 Jul 2024
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search Prabhant Singh Joaquin Vanschoren AAML OOD 51 0 0 26 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 72 0 0 23 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 64 4 0 20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 63 0 0 20 Jul 2024
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments Junlin Lu Patrick Mannion Karl Mason 54 0 0 16 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 56 9 0 15 Jul 2024
Revolutionizing Bridge Operation and maintenance with LLM-based Agents: An Overview of Applications and Insights Xinyu-Chen Lianzhen-Zhang LLMAG AI4CE 52 3 0 14 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 71 1 0 09 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Liqiang Nie Min Zhang Mamba 48 6 0 08 Jul 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang Yifei Zhang Mingxiao Huo Ran Tian Xiang Zhang ... Chenfeng Xu Pengliang Ji Wei Zhan Mingyu Ding Masayoshi Tomizuka MoE 70 18 0 01 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J Taylor 58 3 0 25 Jun 2024
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning Bomin Wang Xinzhe Luo Xiahai Zhuang CLL FedML 44 0 0 25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 63 1 0 24 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Hanghang Tong Huan Zhang Jiawei Han AI4TS 47 3 0 23 Jun 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen Yezhen Wang Zhouhao Yang Xiang Li Haonan Wang Yang Zhang Jonathan Scarlett Zhanxing Zhu Kenji Kawaguchi AI4CE 76 4 0 20 Jun 2024