Meta-Learning with Latent Embedding Optimization

16 July 2018

Dushyant Rao

Papers citing "Meta-Learning with Latent Embedding Optimization"

50 / 318 papers shown

Title
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 43 16 0 06 May 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 40 35 0 24 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 40 20 0 11 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 45 20 0 07 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 38 7 0 07 Apr 2022
Attribute Prototype Network for Any-Shot Learning Wenjia Xu Yongqin Xian Jiuniu Wang Bernt Schiele Zeynep Akata VLM 47 37 0 04 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 42 59 0 29 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 39 30 0 28 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park Junha Kim Bohyung Han OffRL 29 5 0 25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks Marcin Sendera Marcin Przewiȩźlikowski Konrad Karanowski Maciej Ziȩba Jacek Tabor Przemysław Spurek VLM 37 28 0 21 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 54 22 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 57 157 0 07 Mar 2022
Combining Modular Skills in Multitask Learning Edoardo Ponti Alessandro Sordoni Yoshua Bengio Siva Reddy MoE 31 37 0 28 Feb 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 33 4 0 27 Feb 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 48 10 0 17 Feb 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system Haoyang Cao Xin Guo Guan Wang AI4TS 28 7 0 11 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 31 4 0 05 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 44 3 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 84 44 0 01 Feb 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Jixuan Wang Kuan-Chieh Wang Frank Rudzicz M. Brudno VLM 33 21 0 27 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 43 1 0 24 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 46 102 0 15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 55 9 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 38 68 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 32 4 0 09 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 50 21 0 15 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 32 4 0 14 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 33 47 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 53 30 0 01 Dec 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 53 51 0 09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim Kwanghoon Sohn VLM 37 10 0 09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 44 35 0 08 Nov 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 33 112 0 29 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 33 28 0 27 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 41 1 0 26 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 43 39 0 26 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 55 2 0 21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 52 37 0 18 Oct 2021
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes Rimita Lahiri K. Kumatani Eric Sun Yao Qian 55 6 0 15 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 56 11 0 14 Oct 2021
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data D. Canaday Andrew Pomerance M. Girvan AI4TS 28 1 0 07 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning Li Niu VLM OffRL 28 2 0 06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-Xiong Wang 45 13 0 06 Oct 2021
MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel Weighting Yiren Jian Chongyang Gao 41 4 0 05 Oct 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask Xiaoliu Luo Zhuotao Tian Taiping Zhang Bei Yu Yuan Yan Tang Jiaya Jia 48 37 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 59 53 0 28 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 82 4 0 27 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 34 0 0 22 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 40 28 0 20 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 45 35 0 16 Sep 2021