On First-Order Meta-Learning Algorithms

8 March 2018

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

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Title
CS-TGN: Community Search via Temporal Graph Neural Networks Farnoosh Hashemi Ali Behrouz Milad Rezaei Hajidehi 11 14 0 15 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Juncheng Li Minghe Gao Longhui Wei Siliang Tang Wenqiao Zhang Meng Li Wei Ji Qi Tian Tat-Seng Chua Yueting Zhuang VLM VPVLM 34 18 0 12 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 44 19 0 11 Mar 2023
Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift Yifan Zhu Pranay Thangeda Melkior Ornik Kris K. Hauser 50 9 0 06 Mar 2023
First-order ANIL learns linear representations despite misspecified latent dimension Oğuz Kaan Yüksel Etienne Boursier Nicolas Flammarion 38 0 0 02 Mar 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation Gaurav Patel Konda Reddy Mopuri Qiang Qiu 26 28 0 28 Feb 2023
Learning Neural Volumetric Representations of Dynamic Humans in Minutes Chen Geng Sida Peng Zhenqi Xu Hujun Bao Xiaowei Zhou 3DH 30 66 0 23 Feb 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 32 16 0 23 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 43 8 0 23 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 40 2 0 20 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq R. Joty VLM LRM 23 15 0 16 Feb 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 30 0 0 15 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Yu Wu 21 5 0 14 Feb 2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking Derek Chen Kun Qian Zhou Yu 17 5 0 12 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 29 16 0 08 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 17 4 0 05 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 21 6 0 03 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 35 7 0 02 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 48 1 0 02 Feb 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 32 9 0 01 Feb 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 18 11 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks Haiyan Zhao Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang 27 0 0 27 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 13 2 0 26 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 34 130 0 20 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 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
Federated Learning under Heterogeneous and Correlated Client Availability Angelo Rodio Francescomaria Faticanti Othmane Marfoq Giovanni Neglia Emilio Leonardi FedML 13 27 0 11 Jan 2023
Optimistic Meta-Gradients Sebastian Flennerhag Tom Zahavy Brendan O'Donoghue Hado van Hasselt András Gyorgy Satinder Singh 37 3 0 09 Jan 2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning Hao Wang Pan Li 18 14 0 08 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 35 16 0 06 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 31 3 0 04 Jan 2023
Metalearning generalizable dynamics from trajectories Qiaofeng Li Tianyi Wang V. Roychowdhury M. Jawed AI4CE 46 10 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 27 0 01 Jan 2023
An Optimal Algorithm for Strongly Convex Min-min Optimization Alexander Gasnikov D. Kovalev Grigory Malinovsky 26 1 0 29 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 36 3 0 22 Dec 2022
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality Yuang Jiang Konstantinos Poularakis Diego Kiedanski S. Kompella Leandros Tassiulas 13 1 0 20 Dec 2022
Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho Byeonghyeon Lee Seungtae Nam J. Lee J. Ko Eunbyung Park 44 52 0 18 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 19 23 0 08 Dec 2022
Active learning using adaptable task-based prioritisation Shaheer U. Saeed João Ramalhinho Mark A. Pinnock Ziyi Shen Yunguan Fu ... D. Barratt Stephen P. Pereira Brian R. Davidson Matthew J. Clarkson Yipeng Hu 13 4 0 03 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses Yang Shi Guannan Liang Young-joo Chung 30 0 0 02 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning Shachar Don-Yehiya Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen MoMe 28 52 0 02 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 45 10 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022