v1v2 (latest)

Diversity with Cooperation: Ensemble Methods for Few-Shot Classification

27 March 2019

Papers citing "Diversity with Cooperation: Ensemble Methods for Few-Shot Classification"

50 / 105 papers shown

Title
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song Qingbin Liu Xiaoyu Yang AAML SILM FedML 163 1 0 02 Feb 2025
Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data Priyabrata Karmakar Manzur Murshed S. Teng 116 0 0 17 Nov 2024
WiFlexFormer: Efficient WiFi-Based Person-Centric Sensing Julian Strohmayer Matthias Wödlinger Martin Kampel 117 1 0 06 Nov 2024
A Feature Generator for Few-Shot Learning Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 61 0 0 21 Sep 2024
A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets S. W. Qayyumi Laureance F Park O. Obst 41 0 0 12 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 70 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 167 2 0 05 Aug 2024
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation Nicolás Catalano Alessandro Maranelli Agnese Chiatti Matteo Matteucci 68 1 0 09 Feb 2024
Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift Mona Schirmer Dan Zhang Eric T. Nalisnick 43 0 0 13 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 129 4 0 05 Dec 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 113 62 0 27 Sep 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 90 5 0 05 Jul 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Zichang Tan Jun Yu Li Jinhao Du Jun Wan Zhen Lei Guodong Guo VLM 104 22 0 29 Jun 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 121 19 0 12 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 65 6 0 30 Apr 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 60 2 0 15 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh Seung-Jun Han Shivchander Sudalairaj Rumen Dangovski Kai Xu F. Wenzel Marin Soljacic Akash Srivastava UQCV 85 1 0 04 Mar 2023
Local Learning with Neuron Groups Adeetya Patel Michael Eickenberg Eugene Belilovsky 50 6 0 18 Jan 2023
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 49 17 0 29 Nov 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification Witold Sosnowski Anna Wróblewska Karolina Seweryn P. Gawrysiak 51 0 0 28 Nov 2022
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning Witold Sosnowski Karolina Seweryn Anna Wróblewska P. Gawrysiak 64 0 0 28 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 88 7 0 31 Oct 2022
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning Xiangyu Peng Chen Xing Prafulla Kumar Choubey Chien-Sheng Wu Caiming Xiong VLM 126 12 0 23 Oct 2022
Revisiting Few-Shot Learning from a Causal Perspective Guoliang Lin Yongheng Xu Hanjiang Lai Jian Yin CML 102 3 0 28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 64 9 0 27 Sep 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 139 1 0 19 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 79 77 0 10 Sep 2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning Zhong Ji Zhi Hou Xiyao Liu Yanwei Pang Xuelong Li CLL 57 47 0 11 Aug 2022
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation Xingchen Li Long Chen Wenbo Ma Yi Yang Jun Xiao 71 27 0 03 Aug 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 96 37 0 19 Jul 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 71 19 0 09 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 66 11 0 02 Jun 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 109 64 0 05 May 2022
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition Hamidreza Kasaei Songsong Xiong 53 12 0 04 May 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 49 5 0 26 Apr 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 79 75 0 02 Apr 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition Jun Li Zichang Tan Jun Wan Zhen Lei Guodong Guo 90 89 0 29 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 104 23 0 15 Mar 2022
Worst Case Matters for Few-Shot Recognition Minghao Fu Yunhao Cao Jianxin Wu 67 7 0 13 Mar 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 58 5 0 05 Feb 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 92 30 0 01 Dec 2021
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 56 0 0 29 Nov 2021
Selective Ensembles for Consistent Predictions Emily Black Klas Leino Matt Fredrikson 62 23 0 16 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 124 61 0 03 Nov 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 109 11 0 14 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-Xiong Wang 88 13 0 06 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 81 29 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 96 35 0 16 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 82 68 0 15 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Chi Zhang Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 99 41 0 13 Sep 2021