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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"

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Title
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 80 17 0 02 Mar 2021
Few-shot Open-set Recognition by Transformation Consistency Minki Jeong Seokeon Choi Changick Kim 110 52 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 133 114 0 01 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 46 2 0 01 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection Tung-I Chen Yueh-Cheng Liu Hung-Ting Su Yu-Cheng Chang Yu-Hsiang Lin Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 118 100 0 24 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 161 13 0 23 Feb 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 85 160 0 08 Feb 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 64 10 0 28 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 39 5 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 104 37 0 23 Jan 2021
Machine learning with limited data Fupin Yao VLM 57 8 0 18 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 107 72 0 08 Jan 2021
MM-FSOD: Meta and metric integrated few-shot object detection Yuewen Li W. Feng Shuchang Lyu Qi Zhao Xuliang Li ObjD 140 12 0 30 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 51 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 95 26 0 20 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 99 99 0 17 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 175 62 0 14 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 105 54 0 07 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 109 28 0 03 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 50 0 0 02 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 87 240 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 87 6 0 02 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 86 72 0 24 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 38 18 0 22 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 67 82 0 19 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 122 127 0 31 Oct 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 169 247 0 30 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 66 36 0 20 Oct 2020
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization Biao Zhang Peter Wonka 3DPC 60 4 0 16 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 128 109 0 15 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 93 77 0 14 Oct 2020
Impact of Representation Learning in Linear Bandits Jiaqi Yang Wei Hu Jason D. Lee S. Du 97 53 0 13 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
How Important is the Train-Validation Split in Meta-Learning? Yu Bai Minshuo Chen Pan Zhou T. Zhao Jason D. Lee Sham Kakade Haiquan Wang Caiming Xiong 96 53 0 12 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 98 11 0 09 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 48 55 0 07 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 53 20 0 06 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 103 10 0 05 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 102 77 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 89 6 0 01 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 126 78 0 16 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 38 0 0 04 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 121 96 0 27 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 83 79 0 25 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 102 22 0 18 Aug 2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization Dylan Campbell Liu Liu Stephen Gould 3DV 3DPC 101 60 0 29 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 138 321 0 23 Jul 2020