Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision Alexander Bartler Florian Bender Felix Wiewel B. Yang TTA 45 9 0 18 May 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 36 0 0 15 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 67 4 0 15 May 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification George-Eduard Zaharia Razvan-Alexandru Smadu Dumitru-Clementin Cercel M. Dascalu 56 3 0 15 May 2022
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering Md Arafat Sultan Avirup Sil Radu Florian OOD 41 6 0 15 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds Michael O'Connell Guanya Shi Xichen Shi Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 95 171 0 13 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 64 349 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 38 6 0 13 May 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 39 1 0 12 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin Myriam Tami Antoine Toubhans C´eline Hudelot VLM 30 4 0 10 May 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 27 1 0 10 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Yin Hua Wen Zhang Zhen Yao Xian-gan Chen Mengxiao Ding Fei Huang Huajun Chen FedML 33 26 0 10 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-Man Cheung 43 73 0 08 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 41 16 0 06 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 36 61 0 05 May 2022
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs Song Wang Yushun Dong Xiao Huang Chen Chen Jundong Li 37 23 0 05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 49 73 0 04 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 29 20 0 04 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 58 3,381 0 29 Apr 2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning Jin Xu Chi Hong Jiyue Huang L. Chen Jérémie Decouchant AAML FedML 43 21 0 28 Apr 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 31 20 0 28 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 43 2 0 28 Apr 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems Hongchang Gao FedML 54 1 0 28 Apr 2022
Adaptable Text Matching via Meta-Weight Regulator Bo Zhang Chen Zhang Fang Ma D. Song OOD 37 0 0 27 Apr 2022
Meta-AF: Meta-Learning for Adaptive Filters Jonah Casebeer Nicholas J. Bryan Paris Smaragdis 178 28 0 25 Apr 2022
Skill-based Meta-Reinforcement Learning Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 41 45 0 25 Apr 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 41 14 0 25 Apr 2022
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting Linzhi Wu Pengjun Xie Jie Zhou Meishan Zhang Chunping Ma Guangwei Xu Min Zhang 59 21 0 25 Apr 2022
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Dandan Zhang Wen Fan John Lloyd Chenguang Yang Nathan Lepora 35 17 0 24 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 37 35 0 24 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 37 22 0 22 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 86 250 0 22 Apr 2022
Few-Shot Object Detection with Proposal Balance Refinement Sueyeon Kim Woo-Jeoung Nam Seong-Whan Lee ObjD 45 3 0 22 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 52 1 0 22 Apr 2022
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation Chunbo Lang Binfei Tu Gong Cheng Junwei Han 45 65 0 21 Apr 2022
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization T. Wang Zhedong Zheng Yaoqi Sun C. Yan Yi Yang Tat-Seng Chua 34 44 0 18 Apr 2022
MetaSets: Meta-Learning on Point Sets for Generalizable Representations Chao Huang Zhangjie Cao Yunbo Wang Jianmin Wang Mingsheng Long 3DPC 24 30 0 15 Apr 2022
Learning Task-Aware Energy Disaggregation: a Federated Approach Ruohong Liu Yize Chen 36 8 0 14 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 45 24 0 14 Apr 2022
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness Paul Pu Liang 35 4 0 14 Apr 2022
Adaptive Memory Management for Video Object Segmentation Ali Pourganjalikhan Charalambos (Charis) Poullis VOS 33 1 0 13 Apr 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition Tingting Ma Huiqiang Jiang Qianhui Wu Tiejun Zhao Chin-Yew Lin 52 61 0 12 Apr 2022
Few-shot Learning with Noisy Labels Kevin J. Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 35 47 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 38 6 0 11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 40 8 0 11 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 31 9 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 36 161 0 09 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 23 0 0 08 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 42 20 0 07 Apr 2022
GreaseVision: Rewriting the Rules of the Interface Siddhartha Datta Konrad Kollnig N. Shadbolt 37 5 0 07 Apr 2022