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Meta Networks

2 March 2017

Tsendsuren Munkhdalai

Papers citing "Meta Networks"

50 / 490 papers shown

Title
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning Saaketh Medepalli Naren Doraiswamy 155 1 0 30 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RLNeural Information Processing Systems (NeurIPS), 2023 Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 292 13 0 26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningNeural Information Processing Systems (NeurIPS), 2023 Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 328 86 0 25 Sep 2023
Policy Stitching: Learning Transferable Robot PoliciesConference on Robot Learning (CoRL), 2023 Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen OffRL 184 9 0 24 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric WordsIEEE International Conference on Computer Vision (ICCV), 2023 Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 182 10 0 20 Sep 2023
Neural CrystalsBigData Congress [Services Society] (BSS), 2023 S. Karamintziou T. Mavropoulos Dimos Ntioudis G. Meditskos S. Vrochidis Ioannis Y. Kompatsiaris 157 0 0 05 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert GuidanceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 180 14 0 04 Sep 2023
KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution Chao Li Anbang Yao 160 12 0 16 Aug 2023
On the Importance of Spatial Relations for Few-shot Action RecognitionACM Multimedia (ACM MM), 2023 Yilun Zhang Yu Fu Jiabo He Lizhe Qi Yue Yu Zuxuan Wu Yueping Jiang ViT 237 15 0 14 Aug 2023
Meta-learning in healthcare: A surveySN Computer Science (SCS), 2023 Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 296 16 0 05 Aug 2023
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 204 170 0 10 Jul 2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB ImagesInternational Conference on 3D Vision (3DV), 2023 Pan Pan Zhiwen Fan Brandon Yushan Feng Peihao Wang Chenxing Li Zinan Lin 314 27 0 13 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 290 3 0 08 Jun 2023
ModuleFormer: Modularity Emerges from Mixture-of-Experts Songlin Yang Zheyu Zhang Tianyou Cao Shawn Tan Zhenfang Chen Chuang Gan KELM MoE 171 13 0 07 Jun 2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDPNeurocomputing (Neurocomputing), 2023 Arsham Gholamzadeh Khoee Alireza Javaheri Saeed Reza Kheradpisheh M. Ganjtabesh OOD 156 7 0 07 Jun 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 95 19 0 03 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative VerbalizerInternational Conference on Machine Learning (ICML), 2023 Weisen Jiang Yu Zhang James T. Kwok VLM OffRL 231 21 0 01 Jun 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-LearningInternational Conference on Machine Learning (ICML), 2023 Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 393 16 0 28 May 2023
Think Before You Act: Decision Transformers with Working MemoryInternational Conference on Machine Learning (ICML), 2023 Jikun Kang Romain Laroche Xingdi Yuan Adam Trischler Xuefei Liu Jie Fu OffRL 230 0 0 24 May 2023
Few-shot Link Prediction on N-ary FactsInternational Conference on Language Resources and Evaluation (LREC), 2023 Jiyao Wei Saiping Guan Xiaolong Jin Jiafeng Guo Xueqi Cheng 234 0 0 10 May 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 276 14 0 08 May 2023
Accelerating Neural Self-Improvement via Bootstrapping Kazuki Irie Jürgen Schmidhuber 195 1 0 02 May 2023
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Michalis Lazarou Yannis Avrithis Tania Stathaki 210 7 0 27 Apr 2023
Context-enriched molecule representations improve few-shot drug discoveryInternational Conference on Learning Representations (ICLR), 2023 Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter Günter Klambauer 161 34 0 24 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 135 23 0 24 Apr 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition Yanan Wu Songhe Feng Yang Wang 172 16 0 21 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Sang-Hoon Lee Seunghyun Lee B. Song 182 0 0 21 Apr 2023
Clustered-patch Element Connection for Few-shot LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 211 12 0 20 Apr 2023
A Survey on Few-Shot Class-Incremental LearningNeural Networks (Neural Netw.), 2023 Song Tian Lusi Li Weijun Li Hang Ran Xin Ning Prayag Tiwari CLL 313 164 0 17 Apr 2023
A multifidelity approach to continual learning for physical systems Amanda A. Howard Yucheng Fu P. Stinis AI4CE CLL 181 16 0 08 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 139 1 0 06 Apr 2023
Boosting Few-Shot Text Classification via Distribution EstimationAAAI Conference on Artificial Intelligence (AAAI), 2023 Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Fenglong Ma Xiao-Ming Wu Hongyang Chen Hong Yu Xianchao Zhang OODD VLM 181 16 0 26 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 217 2 0 23 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent advancesACM Computing Surveys (ACM Comput. Surv.), 2023 Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 219 120 0 13 Mar 2023
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer AdaptersThe Web Conference (WWW), 2023 Lin Tian Xiuzhen Zhang Jey Han Lau 157 14 0 13 Mar 2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Juncheng Li Minghe Gao Longhui Wei Siliang Tang Wenqiao Zhang Meng Li Wei Ji Qi Tian Tat-Seng Chua Yueting Zhuang VLM VPVLM 239 30 0 12 Mar 2023
Multi-Content Interaction Network for Few-Shot Segmentation Hao Chen YunLong Yu Yonghan Dong Zhe-Ming Lu Yingming Li Zhongfei Zhang 157 6 0 11 Mar 2023
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance Bixing Yan Shaoling Chen Yuxuan He Zhihan Li AIFin 179 3 0 06 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2023 Ivona Najdenkoska Xiantong Zhen Marcel Worring VLM 172 29 0 28 Feb 2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding Jordan S. Cotler Kai Sheng Tai Felipe Hernández Blake Elias David Sussillo 162 5 0 27 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 218 10 0 23 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 127 7 0 14 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Tianpeng Liu CLL 193 8 0 12 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text ClassificationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2023 Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 146 6 0 05 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 164 1 0 02 Feb 2023
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023 Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 252 70 0 28 Jan 2023
Meta Temporal Point ProcessesInternational Conference on Learning Representations (ICLR), 2023 Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 106 22 0 27 Jan 2023
Task-Adaptive Meta-Learning Framework for Advancing Spatial GeneralizabilityAAAI Conference on Artificial Intelligence (AAAI), 2022 Zhexiong Liu Licheng Liu Yiqun Xie Zhenong Jin X. Jia 153 12 0 10 Dec 2022
Learning Domain Invariant Prompt for Vision-Language ModelsIEEE Transactions on Image Processing (IEEE TIP), 2022 Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 272 46 0 08 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain AdaptationIEEE International Joint Conference on Neural Network (IJCNN), 2022 Zhong Yuan Zhenkun Wang Genghui Li OOD 196 1 0 05 Dec 2022