Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

19 September 2019

Papers citing "Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML"

50 / 127 papers shown

Title
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 47 10 0 06 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 59 21 0 04 Jul 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 36 30 0 09 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 43 9 0 07 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 28 36 0 27 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 23 160 0 09 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 62 7 0 05 Apr 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 19 5 0 25 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition Sangwoo Park Osvaldo Simeone 29 4 0 23 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 29 27 0 17 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 34 10 0 03 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 27 85 0 02 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 27 25 0 26 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 16 31 0 20 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Representation Topology Divergence: A Method for Comparing Neural Network Representations S. Barannikov I. Trofimov Nikita Balabin Evgeny Burnaev 3DPC 32 45 0 31 Dec 2021
Does MAML Only Work via Feature Re-use? A Data Centric Perspective Brando Miranda Yu-xiong Wang Oluwasanmi Koyejo 30 4 0 24 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 24 59 0 13 Dec 2021
Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao Liang Qiu Pan Lu Feng Shi Tian Han Song-Chun Zhu 25 5 0 12 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification Rex Liu Huan Zhang Hamed Pirsiavash Xin Liu ViT 17 11 0 08 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 37 19 0 23 Nov 2021
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech Sung-Feng Huang Chyi-Jiunn Lin Da-Rong Liu Yi-Chen Chen Hung-yi Lee 13 56 0 07 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 38 12 0 30 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu-Xiang Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 30 45 0 26 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 26 28 0 13 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 27 39 0 09 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 15 2 0 06 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 19 80 0 01 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Cross-Market Product Recommendation Hamed Bonab Mohammad Aliannejadi Ali Vardasbi Evangelos Kanoulas James Allan 17 50 0 13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 58 0 09 Sep 2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning P. H. T. Gama Hugo Oliveira J. M. Junior J. D. Santos VLM 27 19 0 03 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging Hongru Wang Zezhong Wang Gabriel Pui Cheong Fung Kam-Fai Wong OffRL CLL 27 10 0 26 Aug 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 16 0 0 24 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 67 924 0 19 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 15 50 0 18 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 60 18 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 34 17 0 09 Aug 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
Multimodal Few-Shot Learning with Frozen Language Models Maria Tsimpoukelli Jacob Menick Serkan Cabi S. M. Ali Eslami Oriol Vinyals Felix Hill MLLM 53 749 0 25 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 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 43 80 0 24 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan F. Khan M. Shah 41 108 0 01 Mar 2021