90 Open source projects that are alternatives of or similar to Zero-shot-Fact-Verification

Dialogue Knowledge Transfer Networks (DiKTNet)

Awesome Domain Adaptation Python Toolbox

A collection of AWESOME things about domian adaptation

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

An NLP system for generating reading comprehension questions

Awesome Few-shot learning

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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

Learning To Compare For Text , Few shot learning in text classification

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Matching Networks for one-shot learning in tensorflow (NIPS'16)

A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Neural Models for Key Phrase Detection and Question Generation

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

question generation model with KorQuAD dataset

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

A Visual-semantic embedding model using word2vec and CNNs

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

零样本学习

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Open data of Cofacts collaborative fact-checking database

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

awesome few shot / meta learning papers

NLU: domain-intent-slot; text2SQL

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

A curated list of papers, code and resources pertaining to few-shot image generation.

Class Normalization for Continual Zero-Shot Learning

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

LibFewShot: A Comprehensive Library for Few-shot Learning.

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

https://aletheiafact.org a Crowd-sourced fact checking platform.

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

Laplacian Regularized Few Shot Learning

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

📚 Documentation, wiki and community discussions

Zero Shot Learning with Feature Generating Networks

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

a deep recurrent model for exchangeable data