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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
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 118 17 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 72 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 101 2 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 94 54 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 99 22 0 27 Nov 2022
Deep Active Learning for Computer Vision: Past and Future Rinyoichi Takezoe Xu Liu Shunan Mao Marco Tianyu Chen Zhanpeng Feng Shiliang Zhang Xiaoyu Wang VLM 94 22 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 100 36 0 27 Nov 2022
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 85 14 0 27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 142 2 0 26 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 80 34 0 26 Nov 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation Sina Hajimiri Malik Boudiaf Ismail Ben Ayed Jose Dolz VLM 84 29 0 25 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 96 30 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 56 5 0 23 Nov 2022
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning Yuhan Zhao Quanyan Zhu 68 8 0 23 Nov 2022
Learning to Rasterize Differentiably Chenghao Wu Hamila Mailee Zahra Montazeri Tobias Ritschel 51 1 0 23 Nov 2022
Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim Doyup Lee Saehoon Kim Minsu Cho Wook-Shin Han AI4CE 86 25 0 23 Nov 2022
Integral Continual Learning Along the Tangent Vector Field of Tasks Tianlin Liu Aditya Golatkar Stefano Soatto Alessandro Achille CLL 60 3 0 23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 61 3 0 23 Nov 2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning Junjie Wang Yao Mu Dong Li Qichao Zhang Dongbin Zhao Yuzheng Zhuang Ping Luo Bin Wang Jianye Hao OffRL 76 3 0 23 Nov 2022
HyperTuning: Toward Adapting Large Language Models without Back-propagation Jason Phang Yi Mao Pengcheng He Weizhu Chen 96 34 0 22 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 72 2 0 22 Nov 2022
Neural Meta-Symbolic Reasoning and Learning Zihan Ye Hikaru Shindo Devendra Singh Dhami Kristian Kersting NAI LRM 74 2 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 87 130 0 21 Nov 2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation Zhizhou Ren Hoang Trung-Dung Yitao Liang Jian-wei Peng Jianzhu Ma 58 9 0 20 Nov 2022
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 111 0 0 19 Nov 2022
Task Residual for Tuning Vision-Language Models Tao Yu Zhihe Lu Xin Jin Zhibo Chen Xinchao Wang VLM CLIP 102 92 0 18 Nov 2022
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation Youssef Dawoud Arij Bouazizi Katharina Ernst G. Carneiro Vasileios Belagiannis 30 6 0 18 Nov 2022
Challenges in creative generative models for music: a divergence maximization perspective Axel Chemla-Romeu-Santos P. Esling 83 4 0 16 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration Emmy Liu Moritz Stephan Allen Nie Chris Piech Emma Brunskill Chelsea Finn AI4Ed 109 7 0 16 Nov 2022
Interclass Prototype Relation for Few-Shot Segmentation A. Okazawa SSeg VLM 66 39 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 90 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 109 3 0 16 Nov 2022
A Low-Shot Object Counting Network With Iterative Prototype Adaptation Nikola Djukic A. Lukežič Vitjan Zavrtanik Matej Kristan 89 50 0 15 Nov 2022
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities Siddhartha Datta 85 0 0 15 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 41 6 0 15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 103 2 0 15 Nov 2022
Using Human Perception to Regularize Transfer Learning Justin Dulay Walter J. Scheirer 68 8 0 15 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty Gordon Wichern C. Laughman 86 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 124 10 0 14 Nov 2022
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning Wenqi Ren Qiyu Sun Chaoqiang Zhao Yang Tang 69 3 0 14 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 77 8 0 14 Nov 2022
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization Quan-Wu Xiao Han Shen W. Yin Tianyi Chen 87 8 0 14 Nov 2022
TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren Xidong Feng Bo Liu Xuehai Pan Yao Fu Kai Zou Yaodong Yang 68 12 0 13 Nov 2022
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview Wenqi Ren Yang Tang Qiyu Sun Chaoqiang Zhao Qing‐Long Han VLM 72 43 0 13 Nov 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Yiwen Qiu Jialong Wu Zhangjie Cao Mingsheng Long 59 4 0 13 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 87 13 0 13 Nov 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 68 0 0 12 Nov 2022
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning Md. Tawkat Islam Khondaker Muhammad Abdul-Mageed L. Lakshmanan 37 1 0 11 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray Buntine Changyou Chen Richard Beare 74 8 0 11 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 91 9 0 10 Nov 2022