Meta-Learning with Differentiable Convex Optimization

7 April 2019

Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 232 papers shown

Title
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 27 7 0 29 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 29 2 0 28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 56 2 0 26 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 49 6 0 02 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection Shizhen Zhao Xiaojuan Qi 3DPC 51 17 0 11 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection Yihang She Goutam Bhat Martin Danelljan Feng Yu ObjD 29 1 0 10 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 40 9 0 05 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 57 75 0 04 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 49 22 0 22 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 19 6 0 07 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 24 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 40 42 0 26 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 25 12 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 43 17 0 22 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 34 2 0 05 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 38 3 0 03 Aug 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 24 13 0 24 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 40 3 0 14 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 13 8 0 12 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 36 15 0 06 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 40 46 0 04 Jul 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 32 55 0 15 Jun 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 26 9 0 10 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 43 39 0 08 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 25 1 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 28 36 0 27 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 64 9 0 25 May 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 19 4 0 12 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 25 61 0 05 May 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 24 0 14 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 30 47 0 12 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 23 161 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 36 20 0 07 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients Kaidong Li Ziming Zhang Cuncong Zhong Guanghui Wang 3DPC 34 25 0 29 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 32 32 0 25 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 33 27 0 17 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 37 45 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 31 22 0 15 Mar 2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces Chao Pan Eli Chien Puoya Tabaghi Jianhao Peng O. Milenkovic 18 3 0 07 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 13 4 0 27 Feb 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection L. Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 22 1 0 25 Feb 2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies Stephen Gould Dylan Campbell Itzik Ben-Shabat Chamin Pasidu Hewa Koneputugodage Zhiwei Xu 30 8 0 24 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 26 4 0 05 Feb 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer Mikhail Yurochkin Kristjan Greenewald Justin Solomon 41 6 0 03 Feb 2022