On First-Order Meta-Learning Algorithms

8 March 2018

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

50 / 1,159 papers shown

Title
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 33 9 0 05 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 49 9 0 05 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 19 5 0 04 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 23 3 0 03 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 55 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 31 2 0 02 Jun 2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 27 17 0 01 Jun 2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition Chenglin Li Di Niu Bei Jiang Xiao Zuo Jianming Yang 23 84 0 31 May 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 21 4 0 31 May 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 25 6 0 28 May 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding Xi Chen Tomer Levinboim Sebastian Goodman Radu Soricut 32 33 0 28 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 24 12 0 25 May 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 22 21 0 21 May 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection Shirong Shen Tongtong Wu Guilin Qi Yuan-Fang Li Gholamreza Haffari Sheng Bi 16 40 0 20 May 2021
Graph Sanitation with Application to Node Classification Zhe Xu Boxin Du Hanghang Tong 32 35 0 19 May 2021
Generalizable Person Re-identification with Relevance-aware Mixture of Experts Yongxing Dai Xiaotong Li Jun Liu Zekun Tong Ling-yu Duan OOD 30 125 0 19 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 38 99 0 19 May 2021
Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan Rosemary Nan Ke Anirudh Goyal Bernhard Schölkopf Yoshua Bengio OCL 32 40 0 18 May 2021
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition Wenxin Hou Hanlin Zhu Yidong Wang Jindong Wang Tao Qin Renjun Xu T. Shinozaki 35 63 0 18 May 2021
Rethinking "Batch" in BatchNorm Yuxin Wu Justin Johnson BDL 43 66 0 17 May 2021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning Thomas Goerttler Klaus Obermayer 15 4 0 12 May 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 42 27 0 11 May 2021
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua Qi Lei Jason D. Lee 39 48 0 05 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators Yue Guo Felix Dietrich Tom S. Bertalan Danimir T. Doncevic Manuel Dahmen Ioannis G. Kevrekidis Qianxiao Li 22 11 0 04 May 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 57 21 0 02 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Massimiliano Mancini Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 19 83 0 29 Apr 2021
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang Shuangfei Zhai Pengsheng Guo J. Susskind 47 11 0 21 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 21 11 0 21 Apr 2021
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering Meryem M'hamdi Doo Soon Kim Franck Dernoncourt Trung Bui Xiang Ren Jonathan May 30 20 0 20 Apr 2021
Few-shot learning via tensor hallucination Michalis Lazarou Yannis Avrithis Tania Stathaki 24 4 0 19 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 225 180 0 18 Apr 2021
Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling Shrey Desai Akshat Shrivastava Alexander Zotov Ahmed Aly 17 12 0 15 Apr 2021
Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha Yijun Li Jingwan Lu Alexei A. Efros Yong Jae Lee Eli Shechtman Richard Y. Zhang 25 259 0 13 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration Andy Shih Arjun Sawhney J. Kondic Stefano Ermon Dorsa Sadigh 44 37 0 07 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition A. Bhunia S. Ghose Amandeep Kumar Pinaki Nath Chowdhury Aneeshan Sain Yi-Zhe Song 39 29 0 05 Apr 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 35 19 0 04 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 35 4 0 01 Apr 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 21 77 0 30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 44 126 0 29 Mar 2021
When Few-Shot Learning Meets Video Object Detection Zhongjie Yu Gaoang Wang Lin Chen S. Raschka Jiebo Luo ObjD 39 1 0 26 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 32 84 0 25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 32 103 0 25 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 45 81 0 24 Mar 2021
Meta-Learned Invariant Risk Minimization Jun-Hyun Bae Inchul Choi Minho Lee OOD 31 10 0 24 Mar 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks Pin Wang Hanhan Li Ching-yao Chan 27 9 0 23 Mar 2021
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition Yang Bo Yangdi Lu Wenbo He VLM 38 0 0 18 Mar 2021
Real-Time Visual Object Tracking via Few-Shot Learning Jinghao Zhou Bo Li Peng Wang Peixia Li Weihao Gan Wei Wu Junjie Yan Wanli Ouyang 27 5 0 18 Mar 2021
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar Peike Li Xin Yu Yi Yang CVBM 35 6 0 16 Mar 2021