On Episodes, Prototypical Networks, and Few-shot Learning

17 December 2020

Papers citing "On Episodes, Prototypical Networks, and Few-shot Learning"

36 / 36 papers shown

Title
Few-shot Hate Speech Detection Based on the MindSpore Framework Zhenkai Qin Dongze Wu Yuxin Liu Guifang Yang 26 0 0 22 Apr 2025
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy Nastaran Darabi Divake Kumar Sina Tayebati A. R. Trivedi AAML 65 0 0 04 Feb 2025
Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach Kyle Stein Andrew A. Mahyari Guillermo Francia III Eman El-Sheikh 28 3 0 17 Sep 2024
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC Lucas Grativol Ribeiro Lubin Gauthier Mathieu Léonardon Jérémy Morlier Antoine Lavrard-Meyer Guillaume Muller Virginie Fresse Matthieu Arzel 39 0 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 36 0 0 25 Apr 2024
Class-Incremental Few-Shot Event Detection Kailin Zhao Xiaolong Jin Long Bai J. Guo Xueqi Cheng VLM CLL 21 0 0 02 Apr 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 15 0 0 31 Jan 2024
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention Li Guo Haoming Liu Yuxuan Xia Chengyu Zhang Xiaochen Lu 28 0 0 18 Jan 2024
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 28 2 0 16 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 32 2 0 02 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 24 70 0 10 Jul 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 44 19 0 18 Jun 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 30 5 0 07 Dec 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 20 2 0 22 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 25 8 0 10 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey Harrison Kurunathan Hailong Huang Kai Li Wei Ni E. Hossain 18 70 0 07 Nov 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings Karthik Desingu P. Mirunalini Chandrabose Aravindan 6 1 0 30 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 33 1 0 17 Aug 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 14 37 0 19 Jul 2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners Davis Wertheimer Luming Tang Bharath Hariharan 21 0 0 07 Jul 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 32 12 0 15 Jun 2022
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction Zifeng Ding Bailan He Yunpu Ma Zhen Han Volker Tresp 35 11 0 21 May 2022
Texture based Prototypical Network for Few-Shot Semantic Segmentation of Forest Cover: Generalizing for Different Geographical Regions Gokul Puthumanaillam Ujjwal Verma 17 17 0 29 Mar 2022
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection Ayush Kumar Vijit Malik Jithendra Vepa 31 1 0 14 Dec 2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer F. Khan Guohao Li ViT 27 88 0 09 Dec 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 17 21 0 11 Oct 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 22 32 0 27 Sep 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 16 14 0 03 Aug 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 24 12 0 25 May 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition Daniela Massiceti L. Zintgraf J. Bronskill Lida Theodorou Matthew Tobias Harris Edward Cutrell C. Morrison Katja Hofmann Simone Stumpf 14 44 0 08 Apr 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 180 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017