On sensitivity of meta-learning to support data

26 October 2021

Papers citing "On sensitivity of meta-learning to support data"

32 / 32 papers shown

Title
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 170 1,428 0 14 Dec 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 68 16 0 28 Nov 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 51 76 0 14 Oct 2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily Han Xu Yaxin Li Xiaorui Liu Hui Liu Jiliang Tang AAML 101 10 0 02 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 80 95 0 27 Aug 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 351 1,967 0 11 Apr 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 170 79 0 02 Mar 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 56 75 0 17 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 153 3,539 0 21 Jan 2020
Meta Learning for End-to-End Low-Resource Speech Recognition Jui-Yang Hsu Yuan-Jui Chen Hung-yi Lee 61 104 0 26 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 92 159 0 03 Oct 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 77 579 0 06 Sep 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks Zi-Yi Dou Keyi Yu Antonios Anastasopoulos 53 127 0 27 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 101 55 0 24 Aug 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 91 1,267 0 07 Apr 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 50 124 0 09 Feb 2019
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning Mitchell Wortsman Kiana Ehsani Mohammad Rastegari Ali Farhadi Roozbeh Mottaghi SSL 60 223 0 03 Dec 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 62 42 0 08 Jun 2018
Training Medical Image Analysis Systems like Radiologists Gabriel Maicas A. Bradley Jacinto C. Nascimento Ian Reid G. Carneiro 36 55 0 28 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 93 1,312 0 23 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 80 928 0 21 May 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 108 1,833 0 15 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 271 12,029 0 19 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 65 555 0 12 Jun 2017
Meta learning Framework for Automated Driving Ahmad El-Sallab M. Saeed Omar Abdel Tawab Mohammed Abdou OffRL 33 12 0 11 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 273 8,114 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 150 958 0 01 Mar 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 228 8,548 0 16 Aug 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 339 7,316 0 13 Jun 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 235 19,017 0 20 Dec 2014