SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning

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References (30)

[1]
SSPNet: Semi-Supervised Prototypical Networks for Few-Shot Network Intrusion Detection
2025U. Suleymanov, Murat Kantarcioglu et al.
[2]
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems
2024Davide Di Monda, Antonio Montieri et al.
[3]
CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment
2023E. P. Neto, Sajjad Dadkhah et al.
[4]
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
2023Jaehyun Nam, Jihoon Tack et al.
[5]
Forward Compatible Few-Shot Class-Incremental Learning
2022Da-Wei Zhou, Fu-Yun Wang et al.
[6]
Few-Shot Incremental Learning with Continually Evolved Classifiers
2021Chi Zhang, Nan Song et al.
[7]
Few-Shot Graph Learning for Molecular Property Prediction
2021Zhichun Guo, Chuxu Zhang et al.
[8]
Few-Shot Class-Incremental Learning
2020Xiaoyu Tao, Xiaopeng Hong et al.
[9]
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
2020Kihyuk Sohn, David Berthelot et al.
[10]
Dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru and Mexico
2019Fabio Mendoza Palechor, Alexis De la Hoz Manotas
[11]
Learning a Unified Classifier Incrementally via Rebalancing
2019Saihui Hou, Xinyu Pan et al.
[12]
Unsupervised Data Augmentation for Consistency Training
2019Qizhe Xie, Zihang Dai et al.
[13]
One-Shot Relational Learning for Knowledge Graphs
2018Wenhan Xiong, Mo Yu et al.
[14]
End-to-End Incremental Learning
2018F. M. Castro, M. Marín-Jiménez et al.
[15]
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
2018Iman Sharafaldin, Arash Habibi Lashkari et al.
[16]
Relation Networks for Object Detection
2017Han Hu, Jiayuan Gu et al.
[17]
Lifelong Learning with Dynamically Expandable Networks
2017Jaehong Yoon, Eunho Yang et al.
[18]
Prototypical Networks for Few-shot Learning
2017Jake Snell, Kevin Swersky et al.
[19]
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2017Chelsea Finn, P. Abbeel et al.
[20]
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
2017Antti Tarvainen, Harri Valpola

Showing 20 of 30 references

Founder's Pitch

"SPRINT offers state-of-the-art few-shot class-incremental learning for tabular data, addressing challenges in domains like cybersecurity and healthcare."

Few-Shot LearningScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

2/4 signals

5

Series A Potential

4/4 signals

10

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