Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

17 March 2022

Papers citing "Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning"

25 / 25 papers shown

Title
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning Bingchen Yan 27 0 0 28 Aug 2024
Neural Lineage Runpeng Yu Xinchao Wang 26 4 0 17 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 38 16 0 08 Jun 2024
NTK-Guided Few-Shot Class Incremental Learning Jingren Liu Zhong Ji Yanwei Pang Yunlong Yu CLL 34 3 0 19 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 21 1 0 06 Mar 2024
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 32 4 0 03 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction Maoxiang Sun Weilong Ding Tianpu Zhang Zijian Liu Mengda Xing AI4TS 19 2 0 31 Oct 2023
LEMON: Lossless model expansion Yite Wang Jiahao Su Hanlin Lu Cong Xie Tianyi Liu Jianbo Yuan Haibin Lin Ruoyu Sun Hongxia Yang 17 12 0 12 Oct 2023
Convergence of Gradient-based MAML in LQR N. Musavi Geir E. Dullerud 20 5 0 12 Sep 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing Jing Wu N. Hovakimyan Jennifer Hobbs 29 14 0 27 Jul 2023
NTK-SAP: Improving neural network pruning by aligning training dynamics Yite Wang Dawei Li Ruoyu Sun 28 19 0 06 Apr 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 32 9 0 28 Feb 2023
Optimistic Meta-Gradients Sebastian Flennerhag Tom Zahavy Brendan O'Donoghue Hado van Hasselt András Gyorgy Satinder Singh 29 3 0 09 Jan 2023
Revisiting Few-Shot Learning from a Causal Perspective Guoliang Lin Yongheng Xu Hanjiang Lai Jian Yin CML 24 3 0 28 Sep 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye Ruichen Jiang Haoxiang Wang Dhruv Choudhary Xiaocong Du Bhargav Bhushanam Aryan Mokhtari A. Kejariwal Qiang Liu TTA OOD AI4TS 34 8 0 02 Sep 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks Daiki Chijiwa Shinýa Yamaguchi Atsutoshi Kumagai Yasutoshi Ida 16 8 0 31 May 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 54 32 0 30 Jan 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 73 83 0 08 Nov 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 144 349 0 25 Sep 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 15 6 0 15 Jun 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016