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
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 42 9 0 09 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 51 72 0 08 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 39 14 0 08 Dec 2022
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning Yukun Cao Xike Xie Kexin Huang 37 4 0 07 Dec 2022
Few-Shot Preference Learning for Human-in-the-Loop RL Joey Hejna Dorsa Sadigh OffRL 37 92 0 06 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 34 1 0 05 Dec 2022
Meta-Learning Fast Weight Language Models Kevin Clark Kelvin Guu Ming-Wei Chang Panupong Pasupat Geoffrey E. Hinton Mohammad Norouzi KELM 32 13 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 31 18 0 04 Dec 2022
Meta Learning for Few-Shot Medical Text Classification Pankaj Sharma Imran Qureshi Minh Tran OOD 32 0 0 03 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses Yang Shi Guannan Liang Young-joo Chung 32 0 0 02 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning Yeongwoo Song Hawoong Jeong OOD AI4CE 24 1 0 02 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation Dianwen Mei Wei Zhuo Jiandong Tian Guangming Lu Wenjie Pei VLM 45 0 0 02 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 32 1 0 02 Dec 2022
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects Qi. Wang Juncheng Wang Junyuan Gao Yuan. Yuan Xuelong Li 33 2 0 02 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning Yixiong Chen Jingxia Li C. Ding Li Liu 41 2 0 01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 55 10 0 01 Dec 2022
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 47 23 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 29 13 0 30 Nov 2022
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 21 2 0 30 Nov 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Jijie Wu Dongliang Chang Aneeshan Sain Xiaoxu Li Zhanyu Ma Jie Cao Jun Guo Yi-Zhe Song 26 35 0 30 Nov 2022
Hint-dynamic Knowledge Distillation Yiyang Liu Chenxin Li Xiaotong Tu Xinghao Ding Yue Huang 16 1 0 30 Nov 2022
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning Xiao Yu Qingyang Wu Kun Qian Zhou Yu OffRL 21 11 0 30 Nov 2022
Differentiable User Models Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 30 1 0 29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 36 7 0 29 Nov 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek David Meger OffRL 19 14 0 28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 34 2 0 28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 43 1 0 28 Nov 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 27 47 0 27 Nov 2022
Machine Learning for Smart and Energy-Efficient Buildings Hari Prasanna Das Yu-Wen Lin Utkarsha Agwan Lucas Spangher Alex Devonport Yu Yang Ján Drgoňa A. Chong S. Schiavon C. Spanos HAI AI4CE 36 20 0 27 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection Xiaonan Lu Wenhui Diao Yongqiang Mao Junxi Li Peijin Wang Xian Sun Kun Fu ObjD 39 33 0 27 Nov 2022
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 39 14 0 27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 59 2 0 26 Nov 2022
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition Rong Hu Ling Chen Shenghuan Miao Xing Tang 28 26 0 25 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets David Venuto Sherry Yang Pieter Abbeel Doina Precup Igor Mordatch Ofir Nachum OffRL 27 5 0 23 Nov 2022
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning Yuhan Zhao Quanyan Zhu 19 8 0 23 Nov 2022
Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim Doyup Lee Saehoon Kim Minsu Cho Wook-Shin Han AI4CE 22 24 0 23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 27 3 0 23 Nov 2022
HyperTuning: Toward Adapting Large Language Models without Back-propagation Jason Phang Yi Mao Pengcheng He Weizhu Chen 40 30 0 22 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 33 2 0 22 Nov 2022
Neural Meta-Symbolic Reasoning and Learning Zihan Ye Hikaru Shindo Devendra Singh Dhami Kristian Kersting NAI LRM 28 1 0 21 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 41 117 0 21 Nov 2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 37 1 0 19 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration E. Liu Moritz Stephan Allen Nie Chris Piech Emma Brunskill Chelsea Finn AI4Ed 45 8 0 16 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 42 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 44 1 0 16 Nov 2022
A Low-Shot Object Counting Network With Iterative Prototype Adaptation Nikola Djukic A. Lukežič Vitjan Zavrtanik Matej Kristan 32 46 0 15 Nov 2022
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities Siddhartha Datta 35 0 0 15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 31 2 0 15 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty Gordon Wichern C. Laughman 47 12 0 14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 50 9 0 14 Nov 2022