Beanm7

xai-benchmark

A Diagnostic Study of Explainability Techniques for Text Classification

MAML_noisy_contrasive_learner

negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

rfs

MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

FSLL

Few-Shot Lifelong Learning

HATT-Proto

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

Bert-TextClassification

Implemention some Baseline Model upon Bert for Text Classification

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

KAMG

EMNLP2020-short

few-shot-text-classification

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

GP-Tree

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

HCRP

Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction. https://arxiv.org/abs/2109.05473

MemMAP

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

MAML_LSTM

Regularized MAML for time-series data prediction

Meta-Learning-for-Bi-LSTM-Models

Helping bi-LSTM models generalize with fewer data points using meta-learning (MAML).

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Text-Classification-NLP

Classifying text using Bi-LSTM, Transformer, BERT-ATT, BERT-BILSTM and BERT-CNN（文本分类）ChineseGLUE

Sentiment_Analysis_Imdb

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Bert-malware-classification

使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务

PytorchBertBiLstmClassify

Pytorch Bert+BiLstm二分类

NER-Bert-BiLstm

chinese ner（model: bert+lstm）

FewOne

Experimental codes and data for paper "Classical Sequence Match is Competitive Few-Shot One-Class Learner", COLING 2022

DART

[ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

OpenPrompt

An Open-Source Framework for Prompt-Learning.

Grad2Task

Codes for the paper "Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation"