On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 68 2 0 01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 57 0 0 28 Feb 2024
Immunization against harmful fine-tuning attacks Domenic Rosati Jan Wehner Kai Williams Lukasz Bartoszcze Jan Batzner Hassan Sajjad Frank Rudzicz AAML 73 18 0 26 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 55 0 0 23 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices Branislav Pecher Ivan Srba Maria Bielikova 85 4 0 20 Feb 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain Xiaohe Li Feilong Huang Zide Fan Fangli Mou Yingyan Hou Chen Qian Lijie Wen 39 1 0 13 Feb 2024
Informativeness of Reward Functions in Reinforcement Learning R. Devidze Parameswaran Kamalaruban Adish Singla 38 2 0 10 Feb 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF Han Shen Zhuoran Yang Tianyi Chen OffRL 49 14 0 10 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection Enyan Dai Min Lin Suhang Wang 44 2 0 06 Feb 2024
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms Hossein Zakerinia Amin Behjati Christoph H. Lampert FedML 41 7 0 06 Feb 2024
Learning a Decision Tree Algorithm with Transformers Yufan Zhuang Liyuan Liu Chandan Singh Jingbo Shang Jianfeng Gao 55 5 0 06 Feb 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning Lirui Wang Jialiang Zhao Yilun Du Edward H. Adelson Russ Tedrake 91 31 0 04 Feb 2024
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation Pawel Batorski Dawid Malarz Marcin Przewiȩźlikowski Marcin Mazur S. Tadeja Przemysław Spurek 51 1 0 02 Feb 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Guanjie Zheng Yanwei Yu AI4TS 59 6 0 01 Feb 2024
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning Federico Ceola Lorenzo Rosasco Lorenzo Natale 51 5 0 26 Jan 2024
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning Tao He Tongtong Wu Dongyang Zhang Guiduo Duan Ke Qin Yuan-Fang Li CLL 55 1 0 26 Jan 2024
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh Recovery Yongwei Nie Mingxian Fan Chengjiang Long Qing Zhang Jian Zhu Xuemiao Xu 3DH 33 0 0 25 Jan 2024
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning Suneung Kim Woo-Jeoung Nam Seong-Whan Lee GAN 29 1 0 25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 61 11 0 24 Jan 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning Maofa Wang Bingchen Yan 49 0 0 24 Jan 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients Mengdi Wang Anna Bodonhelyi Efe Bozkir Enkelejda Kasneci FedML 37 2 0 22 Jan 2024
Efficient Neural Representation of Volumetric Data using Coordinate-Based Networks Sudarshan Devkota S. Pattanaik MedIm 39 1 0 16 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 43 0 0 10 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou OffRL 58 8 0 09 Jan 2024
Marginal Debiased Network for Fair Visual Recognition Mei Wang Weihong Deng Sen Su 55 0 0 04 Jan 2024
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques Tzu-Han Lin How-Shing Wang Hao-Yung Weng Kuang-Chen Peng Zih-Ching Chen Hung-yi Lee 47 5 0 04 Jan 2024
Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation Xin Hao Changyang She Phee Lep Yeoh Yuhong Liu Branka Vucetic Yonghui Li 59 0 0 23 Dec 2023
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning Junxiang Wang Guangji Bai Wei Cheng Zhengzhang Chen Liang Zhao Haifeng Chen AI4TS 49 2 0 19 Dec 2023
Mask Grounding for Referring Image Segmentation Yong Xien Chng Henry Zheng Yizeng Han Xuchong Qiu Gao Huang ISeg ObjD 60 16 0 19 Dec 2023
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI Qinqian Lei Bo Wang Robby T. Tan VLM 47 2 0 17 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 67 17 0 14 Dec 2023
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning Haowen Bai Zixiang Zhao Jiangshe Zhang Yichen Wu Lilun Deng Yukun Cui Shuang Xu Baisong Jiang 67 8 0 13 Dec 2023
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 47 1 0 12 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qiwen Wang Da-Wei Zhou Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye CLL 65 44 0 08 Dec 2023
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization Heejun Shin Taehee Kim Jongho Lee S. Chun Seungryung Cho Dongmyung Shin 47 0 0 04 Dec 2023
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 50 2 0 03 Dec 2023
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning Vinay Kumar Verma Nikhil Mehta Kevin J. Liang Aakansha Mishra Lawrence Carin BDL VLM 44 2 0 02 Dec 2023
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges Noémie Jaquier Michael C. Welle A. Gams Kunpeng Yao Bernardo Fichera A. Billard Aleš Ude Tamim Asfour Danica Kragic 55 14 0 29 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss Zezhou Wang Guitao Cao Xidong Xi Jiangtao Wang 49 0 0 25 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 40 4 0 23 Nov 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 69 1 0 19 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 51 6 0 11 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 53 11 0 09 Nov 2023
Learning to Learn for Few-shot Continual Active Learning Stella Ho Ming Liu Shang Gao Longxiang Gao KELM BDL VLM CLL 29 2 0 07 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 37 6 0 06 Nov 2023
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition Guangyue Xu Parisa Kordjamshidi Joyce Chai 34 2 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 36 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 53 2 0 01 Nov 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 37 0 0 30 Oct 2023
Meta-Learning Strategies through Value Maximization in Neural Networks Rodrigo Carrasco-Davis Javier Masís Andrew M. Saxe 34 1 0 30 Oct 2023