What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
Learning for Structured Data

What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data

11 June 2021

Adriane P. Chapman

Dame Wendy Hall

Papers citing "What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data"

17 / 17 papers shown

Title
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance Chen-Wei Chang Shailik Sarkar Shutonu Mitra Qi Zhang Hossein Salemi Hemant Purohit Fengxiu Zhang Michin Hong Jin-Hee Cho Chang-Tien Lu 65 2 0 01 Dec 2024
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction Wenhao Li Jie Zhou Chuan Luo Chao Tang Kun Zhang Shixiong Zhao 45 0 0 03 Aug 2024
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment Linyao Yang Hongyang Chen Xiao Wang Jing Yang Fei-Yue Wang Han Liu 25 4 0 30 Jan 2024
A Physics-Informed Low-Shot Learning For sEMG-Based Estimation of Muscle Force and Joint Kinematics Yue Shi Shuhao Ma Yihui Zhao Zhi-Li Zhang 26 1 0 08 Jul 2023
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview Wenqi Ren Yang Tang Qiyu Sun Chaoqiang Zhao Qing‐Long Han VLM 18 41 0 13 Nov 2022
Reinforcement Learning in Education: A Multi-Armed Bandit Approach H. Combrink Vukosi Marivate Benjamin Rosman 6 2 0 01 Nov 2022
Ontology-enhanced Prompt-tuning for Few-shot Learning Hongbin Ye Ningyu Zhang Shumin Deng Xiang Chen Hui Chen Feiyu Xiong Xi Chen Huajun Chen 115 62 0 27 Jan 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey Jiaoyan Chen Yuxia Geng Zhuo Chen Jeff Z. Pan Yuan He Wen Zhang Ian Horrocks Hua-zeng Chen 30 41 0 18 Dec 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 30 21 0 26 Jul 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 71 89 0 06 Mar 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 205 244 0 16 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 233 31,253 0 16 Jan 2013