On First-Order Meta-Learning Algorithms

8 March 2018

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

50 / 1,156 papers shown

Title
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation Yong Wu Yang Wang Sanqing Qu Zhijun Li Guang Chen 32 1 0 13 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 71 1 0 12 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey Junhao Zheng Shengjie Qiu Chengming Shi Qianli Ma KELM CLL 30 14 0 10 Jun 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge David R. Wessels Riccardo Valperga Samuele Papa J. Sonke E. Gavves Erik J. Bekkers AI4CE 36 4 0 10 Jun 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu Yiwen Lu Chang Liu Yong Chen Yan Sun Xiao Hu Joyce C. Ho Carl Yang 38 1 0 09 Jun 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting Zhanyu Liu Jianrong Ding Guanjie Zheng AI4TS 22 2 0 03 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning Mina Rafiei Mohammadmahdi Maheri Hamid R. Rabiee 32 0 0 01 Jun 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling Sili Huang Jifeng Hu Zhe Yang Liwei Yang Tao Luo Hechang Chen Lichao Sun Bo Yang Mamba 29 3 0 31 May 2024
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought Sili Huang Jifeng Hu Hechang Chen Lichao Sun Bo Yang OffRL LRM 29 7 0 31 May 2024
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 39 0 0 29 May 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence Hongduan Tian Feng Liu Tongliang Liu Bo Du Yiu-ming Cheung Bo Han 29 1 0 29 May 2024
Learning to Continually Learn with the Bayesian Principle Soochan Lee Hyeonseong Jeon Jaehyeon Son Gunhee Kim BDL CLL 34 3 0 29 May 2024
On Understanding Attention-Based In-Context Learning for Categorical Data Aaron T. Wang William Convertino Xiang Cheng Ricardo Henao Lawrence Carin 61 0 0 27 May 2024
Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation Yanwei Zheng Changrui Li Chuanlin Lan Yaling Li Xiao Zhang Yifei Zou Dongxiao Yu Zhipeng Cai 38 0 0 24 May 2024
Worldwide Federated Training of Language Models Alexandru Iacob Lorenzo Sani Bill Marino Preslav Aleksandrov William F. Shen Nicholas D. Lane FedML 35 2 0 23 May 2024
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation Yuyu Jia Wei Huang Junyu Gao Qi. Wang Qiang Li 49 3 0 22 May 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 37 1 0 21 May 2024
The Future of Large Language Model Pre-training is Federated Lorenzo Sani Alexandru Iacob Zeyu Cao Bill Marino Yan Gao ... Wanru Zhao William F. Shen Preslav Aleksandrov Xinchi Qiu Nicholas D. Lane AI4CE 35 13 0 17 May 2024
On-device Online Learning and Semantic Management of TinyML Systems Haoyu Ren Xue Li Darko Anicic Thomas Runkler 42 3 0 13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 34 2 0 11 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 49 10 0 09 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 35 3 0 03 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 22 1 0 03 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 37 3 0 02 May 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 47 0 0 27 Apr 2024
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models Parul Gupta Munawar Hayat Abhinav Dhall Thanh-Toan Do DiffM 46 1 0 25 Apr 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach Mir Rayat Imtiaz Hossain Mennatullah Siam Leonid Sigal James J. Little VLM 38 5 0 17 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Yuwei Tang Zhenyi Lin Qilong Wang Pengfei Zhu Qinghua Hu 30 11 0 13 Apr 2024
Deep Reinforcement Learning for Traveling Purchaser Problems Haofeng Yuan Rong-Zhu Zhu Wanlu Yang Shiji Song Keyou You Yuli Zhang 30 0 0 03 Apr 2024
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection Ivo Verhoeven Pushkar Mishra Rahel Beloch H. Yannakoudakis Ekaterina Shutova 21 0 0 02 Apr 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 47 14 0 01 Apr 2024
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks Letian Peng Zilong Wang Feng Yao Zihan Wang Jingbo Shang SyDa 33 13 0 30 Mar 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 33 2 0 29 Mar 2024
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering Guoxing Sun Rishabh Dabral Pascal Fua Christian Theobalt Marc Habermann 3DH 50 4 0 27 Mar 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 32 12 0 27 Mar 2024
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification Lei Zhang Xiaowei Fu Fuxiang Huang Yi Yang Xinbo Gao VLM 27 4 0 22 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 21 0 0 20 Mar 2024
Improving Generalization via Meta-Learning on Hard Samples Nishant Jain A. Suggala Pradeep Shenoy OOD OffRL 39 2 0 18 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 37 0 0 18 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 29 4 0 15 Mar 2024
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models Tian Meng Yang Tao Ruilin Lyu Wuliang Yin VLM 46 1 0 15 Mar 2024
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning Ruiyi Zhang Rushi Qiang Sai Ashish Somayajula Pengtao Xie 39 13 0 14 Mar 2024
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning Jing Tan R. Khalili Holger Karl 23 0 0 13 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage Jae-Jun Lee Sung Whan Yoon 22 1 0 11 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 43 1 0 06 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 43 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 35 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 62 16 0 26 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024