Meta Networks

2 March 2017

Tsendsuren Munkhdalai

Papers citing "Meta Networks"

50 / 201 papers shown

Title
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 25 7 0 01 Feb 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 44 37 0 24 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 36 101 0 15 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 48 21 0 15 Dec 2021
Event-Aware Multimodal Mobility Nowcasting Zhaonan Wang Renhe Jiang Hao Xue Flora D. Salim Xuan Song Ryosuke Shibasaki 43 36 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 30 60 0 13 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF Su Zhu Lu Chen Ruisheng Cao Zhi Chen Qingliang Miao Kai Yu 27 2 0 09 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification Rex Liu Huan Zhang Hamed Pirsiavash Xin Liu ViT 30 11 0 08 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 25 5 0 06 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 37 22 0 04 Dec 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 17 1 0 10 Nov 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 49 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
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 31 15 0 30 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 26 111 0 29 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 27 22 0 18 Oct 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression Chenhe Dong Yaliang Li Ying Shen Minghui Qiu VLM 47 7 0 16 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 38 11 0 14 Oct 2021
Morphable Detector for Object Detection on Demand Xiangyun Zhao Xu Zou Ying Nian Wu ObjD 33 4 0 10 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 2021
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition Tsendsuren Munkhdalai K. Sim Angad Chandorkar Fan Gao Mason Chua Trevor Strohman F. Beaufays 42 34 0 05 Oct 2021
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation Zheng Yuan A. Esteva Ran Xu VLM 37 4 0 29 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks Amirreza Sobhdel R. Razavi-Far 47 4 0 22 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee Myunggi Lee Nojun Kwak ObjD 33 30 0 16 Sep 2021
Few-shot Visual Relationship Co-localization Revant Teotia Vaibhav Mishra Mayank Maheshwari Anand Mishra 25 1 0 26 Aug 2021
Normal Learning in Videos with Attention Prototype Network Chao Hu Fan Wu Weijie Wu Weibin Qiu Shengxin Lai 25 1 0 25 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 78 108 0 06 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 47 88 0 16 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 46 24 0 11 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 35 9 0 05 Jun 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 13 39 0 29 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 38 99 0 19 May 2021
Updatable Siamese Tracker with Two-stage One-shot Learning Xing Sun G. Han Lihong Guo Tingfa Xu Jianan Li Peixun Liu 26 8 0 30 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations Guanghao Yin Wei Wang Zehuan Yuan Wei Ji Dongdong Yu Shouqian Sun Tat-Seng Chua Changhu Wang 27 14 0 08 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 26 29 0 01 Apr 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 44 126 0 29 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning Thanh Nguyen Tung M. Luu T. Pham Sanzhar Rakhimkul Chang D. Yoo 22 10 0 15 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
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing Denghao Li Pablo Ortega Xia Wei Aldo A. Faisal 34 19 0 10 Mar 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 51 228 0 22 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 33 47 0 20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 34 32 0 20 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 67 223 0 27 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 65 35 0 23 Jan 2021
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020