FSL-Mate: A collection of resources for few-shot learning (FSL).

Last update: Jan 08, 2023

Overview

FSL-Mate is a collection of resources for few-shot learning (FSL).

In particular, FSL-Mate currently contains

FewShotPapers: a paper list which tracks the research advances on FSL
PaddleFSL: a PaddlePaddle-based python library for FSL

We are endeavored to constantly update FSL-Mate. Hopefully, it can make FSL easier.

News!

[11/21] Add FSL papers published in ICCV 2021, EMNLP 2021 and NeurIPS 2021.
[08/21] Add FSL papers published in AAAI 2021, ICML 2021, SIGIR 2021, ACL-IJCNLP 2021, KDD 2021, and IJCAI 2021.
[08/21] PaddleFSL now supports image classification, relation classification and FewClue tasks.

Cite Us

Please cite our paper if you find it helpful.

@article{wang2020generalizing,
  title={Generalizing from a few examples: A survey on few-shot learning},
  author={Wang, Yaqing and Yao, Quanming and Kwok, James T and Ni, Lionel M},
  journal={ACM Computing Surveys},
  volume={53},
  number={3},
  pages={1--34},
  year={2020},
  publisher={ACM New York, NY, USA}
}

Contact

We welcome advices and feedbacks for FSL-Mate. Please feel free to open an issue or contact Yaqing Wang.

FSL-Mate: A collection of resources for few-shot learning (FSL).

Related tags

Overview

News!

Cite Us

Contact

Owner

Yaqing Wang

A library for hidden semi-Markov models with explicit durations

This is the repository for the paper "Have I done enough planning or should I plan more?"

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets

S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".

Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

XViT - Space-time Mixing Attention for Video Transformer

For holding anime-related object classification and detection models

An Unsupervised Graph-based Toolbox for Fraud Detection

face property detection pytorch

Run PowerShell command without invoking powershell.exe

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

Molecular Sets (MOSES): A benchmarking platform for molecular generation models

Implementation for Paper "Inverting Generative Adversarial Renderer for Face Reconstruction"

Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.

A geometric deep learning pipeline for predicting protein interface contacts.

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

View model summaries in PyTorch!

Face Recognition Attendance Project

Research - dataset and code for 2016 paper Learning a Driving Simulator

FSL-Mate: A collection of resources for few-shot learning (FSL).

Related tags

Overview

News!

Cite Us

Contact

Owner

Yaqing Wang

A library for hidden semi-Markov models with explicit durations

This is the repository for the paper "Have I done enough planning or should I plan more?"

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets

S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".

Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

XViT - Space-time Mixing Attention for Video Transformer

For holding anime-related object classification and detection models

An Unsupervised Graph-based Toolbox for Fraud Detection

face property detection pytorch

Run PowerShell command without invoking powershell.exe

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

Molecular Sets (MOSES): A benchmarking platform for molecular generation models

Implementation for Paper "Inverting Generative Adversarial Renderer for Face Reconstruction"

Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.

A geometric deep learning pipeline for predicting protein interface contacts.

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

View model summaries in PyTorch!

Face Recognition Attendance Project

Research - dataset and code for 2016 paper Learning a Driving Simulator

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.