A Closer Look at Few-shot Classification

8 April 2019

Papers citing "A Closer Look at Few-shot Classification"

50 / 843 papers shown

Title
Generalized Product Quantization Network for Semi-supervised Image Retrieval Young Kyun Jang N. Cho 16 38 0 26 Feb 2020
Revealing the Structure of Deep Neural Networks via Convex Duality Tolga Ergen Mert Pilanci MLT 6 71 0 22 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention Yann Lifchitz Yannis Avrithis Sylvaine Picard SSL 28 7 0 18 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 34 75 0 17 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 164 11 0 11 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 11 12 0 06 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 30 22 0 03 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 20 28 0 27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 387 0 23 Jan 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 14 2 0 23 Jan 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li 29 48 0 22 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 30 48 0 22 Jan 2020
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers Haohang Xu H. Xiong Guojun Qi 21 2 0 29 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 103 1,183 0 24 Dec 2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks Joanna Materzynska Tete Xiao Roei Herzig Huijuan Xu Xiaolong Wang Trevor Darrell CoGe 16 173 0 20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Zhongjie Yu Lin Chen Zhongwei Cheng Jiebo Luo 17 107 0 19 Dec 2019
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 27 79 0 18 Dec 2019
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift Da Chen Yongliang Yang Zunlei Feng Xiang Wu Min-Gyoo Song Wenbin Li Yuan He Hui Xue Feng Mao VLM 12 1 0 18 Dec 2019
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 39 45 0 16 Dec 2019
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 8 150 0 11 Dec 2019
Revisiting Few-Shot Learning for Facial Expression Recognition Anca-Nicoleta Ciubotaru A. Devos Behzad Bozorgtabar Jean-Philippe Thiran M. Gabrani CVBM 23 11 0 05 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 35 17 0 01 Dec 2019
Unlocking the Full Potential of Small Data with Diverse Supervision Ziqi Pang Zhiyuan Hu P. Tokmakov Yu-xiong Wang M. Hebert 6 0 0 29 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 25 10 0 28 Nov 2019
Generalized Adaptation for Few-Shot Learning Liang Song Jinlu Liu Yongqiang Qin VLM 27 8 0 25 Nov 2019
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 31 244 0 25 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall 16 37 0 17 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 28 7 0 16 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 16 108 0 14 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger L. V. D. van der Maaten VLM 22 336 0 12 Nov 2019
Shaping Visual Representations with Language for Few-shot Classification Jesse Mu Percy Liang Noah D. Goodman VLM 11 49 0 06 Nov 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 25 4 0 31 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 30 219 0 30 Oct 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 25 61 0 25 Oct 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey Shuhan Tan Xingchao Peng Kate Saenko OOD 19 11 0 23 Oct 2019
Deep Kernels with Probabilistic Embeddings for Small-Data Learning Ankur Mallick Chaitanya Dwivedi B. Kailkhura Gauri Joshi T. Y. Han BDL UQCV 12 7 0 13 Oct 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 19 19 0 11 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 28 168 0 08 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector Jiaxing Huang Seungwon Lee Jingyi Zhang Taegyun Jeon 19 6 0 04 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 28 159 0 03 Oct 2019
An empirical study of pretrained representations for few-shot classification Tiago Ramalho Laura Vana-Gur P. Filzmoser VLM 17 6 0 03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum Liam H. Fowl Tom Goldstein 14 13 0 02 Oct 2019
Graph convolutional networks for learning with few clean and many noisy labels Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum Cordelia Schmid SSL 14 19 0 01 Oct 2019
Revisiting Fine-tuning for Few-shot Learning Akihiro Nakamura Tatsuya Harada 32 52 0 01 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 25 145 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 30 6 0 30 Sep 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao M. Law Sanja Fidler 25 63 0 25 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019