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Meta-Learning with Differentiable Convex Optimization

7 April 2019

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Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 336 papers shown

Title
Multi-Task Meta Learning: learn how to adapt to unseen tasks Richa Upadhyay Prakash Chandra Chhipa Ronald Phlypo Rajkumar Saini Marcus Liwicki 75 11 0 13 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 96 17 0 11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection Yihang She Goutam Bhat Martin Danelljan Feng Yu ObjD 88 1 0 10 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 85 3 0 07 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 75 3 0 05 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 112 21 0 22 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 107 57 0 17 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 76 6 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 49 1 0 05 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 90 0 0 03 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 116 46 0 26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 112 17 0 22 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 82 3 0 05 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 125 3 0 03 Aug 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation Guangchen Shi Yirui Wu Jing Liu Shaohua Wan Wenhai Wang Tong Lu CLL 115 35 0 26 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 69 14 0 24 Jul 2022
Self-Support Few-Shot Semantic Segmentation Qi Fan Wenjie Pei Yu-Wing Tai Chi-Keung Tang 99 147 0 23 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 91 0 0 14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 96 16 0 06 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 81 47 0 04 Jul 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification Massimiliano Patacchiola J. Bronskill Aliaksandra Shysheya Katja Hofmann Sebastian Nowozin Richard Turner VLM 72 10 0 20 Jun 2022
EEML: Ensemble Embedded Meta-learning Geng Li Boyuan Ren Hongzhi Wang FedML 48 2 0 18 Jun 2022
Channel Importance Matters in Few-Shot Image Classification Xu Luo Jing Xu Zenglin Xu VLM 90 42 0 16 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 112 57 0 15 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 95 40 0 08 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images Fereshteh Shakeri Malik Boudiaf S. Mohammadi Ivaxi Sheth Mohammad Havaei Ismail Ben Ayed Samira Ebrahimi Kahou OOD VLM 86 23 0 31 May 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks Daiki Chijiwa Shin'ya Yamaguchi Atsutoshi Kumagai Yasutoshi Ida 80 9 0 31 May 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 98 20 0 30 May 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 81 39 0 27 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 141 9 0 25 May 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 64 4 0 12 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 99 16 0 06 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 109 65 0 05 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Jiajun He Austin Tripp José Miguel Hernández-Lobato 66 23 0 05 May 2022
Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro Edward Schmerling Nikos Arechiga Marco Pavone 45 3 0 04 May 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 56 3 0 17 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 92 197 0 15 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 77 26 0 14 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 89 172 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 78 20 0 07 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 79 75 0 02 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 99 61 0 29 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 103 32 0 25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 101 29 0 21 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 98 46 0 17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 104 23 0 15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning Yuqian Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 73 20 0 15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 79 31 0 14 Mar 2022