107 Open source projects that are alternatives of or similar to Awesome-Weak-Shot-Learning

A collection of AWESOME things about domian adaptation

Awesome Domain Adaptation Python Toolbox

Dialogue Knowledge Transfer Networks (DiKTNet)

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

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

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

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

[NeurIPS 2021] The first weak-shot classification paper.

Weakly Supervised End-to-End Learning (NeurIPS 2021)

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

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

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/

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

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.

Weakly supervised medical named entity classification

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Zero Shot Learning with Feature Generating Networks

A curated (most recent) list of resources for Learning with Noisy Labels

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

awesome few shot / meta learning papers

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

零样本学习

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

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

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

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.

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

Laplacian Regularized Few Shot Learning

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

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

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

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

a deep recurrent model for exchangeable data

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

No description or website provided.

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

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

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

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

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

A Visual-semantic embedding model using word2vec and CNNs

"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

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

Awesome Few-shot learning

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

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

Class Normalization for Continual Zero-Shot Learning

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

General-Purpose Neural Networks for Sentence Boundary Detection

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

The Official PyTorch Implementation of DiscoBox.

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