Meta-Learning with Differentiable Convex Optimization

7 April 2019

Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 234 papers shown

Title
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 30 84 0 14 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 17 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 37 22 0 09 Jun 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 31 5 0 02 May 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 34 24 0 26 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 26 18 0 08 Apr 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 26 21 0 21 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu Tu Zheng Mingli Song Deng Cai Xiaofei He 38 25 0 15 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 27 8 0 10 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 70 0 07 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 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 41 109 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 35 96 0 24 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 18 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 61 35 0 23 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 33 68 0 08 Jan 2021
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 42 61 0 14 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 42 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 25 0 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 6 0 02 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 240 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 17 34 0 20 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 30 45 0 13 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 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 23 75 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 34 6 0 01 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 30 76 0 16 Sep 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 34 95 0 27 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 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 20 60 0 29 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 315 0 23 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 17 22 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 30 54 0 17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 13 7 0 16 Jul 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 27 216 0 20 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 31 91 0 17 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 26 74 0 16 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 24 193 0 28 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 13 4 0 23 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 21 47 0 09 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 30 5 0 30 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 22 35 0 17 Apr 2020