Meta-Learning with Latent Embedding Optimization

16 July 2018

Dushyant Rao

Papers citing "Meta-Learning with Latent Embedding Optimization"

50 / 318 papers shown

Title
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 45 29 0 30 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 28 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 23 2 0 19 Nov 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 51 28 0 22 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 32 35 0 20 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 31 106 0 15 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 43 45 0 13 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 34 81 0 11 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 51 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 50 10 0 05 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 39 6 0 01 Oct 2020
Few-shot Learning for Time-series Forecasting Tomoharu Iwata Atsutoshi Kumagai AI4TS 16 18 0 30 Sep 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 45 228 0 28 Sep 2020
Fair Meta-Learning For Few-Shot Classification Chengli Zhao Changbin Li Jincheng Li Feng Chen FaML 25 26 0 23 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 43 21 0 19 Sep 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 40 87 0 17 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 48 15 0 07 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 43 104 0 13 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 33 54 0 30 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 43 63 0 20 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 25 22 0 17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 33 87 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 53 54 0 17 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 39 4 0 14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 29 159 0 14 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 13 4 0 08 Jul 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection Shivangi Aneja Matthias Nießner 26 42 0 21 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah SSL 33 91 0 17 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 54 11 0 15 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 44 8 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 48 41 0 12 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 32 34 0 11 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Andrei Boiarov O. Granichin O. Granichina 49 6 0 09 Jun 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 27 47 0 09 May 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 32 125 0 27 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 39 35 0 17 Apr 2020
Regularizing Meta-Learning via Gradient Dropout Hung-Yu Tseng Yi-Wen Chen Yi-Hsuan Tsai Sifei Liu Yen-Yu Lin Ming-Hsuan Yang 27 34 0 13 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 31 28 0 12 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 143 1,940 0 11 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 27 39 0 01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 28 206 0 31 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng Zhang Mingsheng Long Han Hu 40 320 0 26 Mar 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 32 160 0 26 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 51 5 0 18 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 182 98 0 17 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 134 544 0 16 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 26 6 0 15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 29 76 0 14 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 175 342 0 09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 14 193 0 09 Mar 2020