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Search results for few shot learning

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290 search results found

Incontext Learning ⭐ 69

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

Laplacianshot ⭐ 69

Laplacian Regularized Few Shot Learning

Gnn_few_shot_cifar100 ⭐ 68

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

Instructdial ⭐ 67

Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Knowledge_evolution ⭐ 67

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

Tiered Imagenet Tools ⭐ 66

Tools for generating tieredImageNet dataset and processing batches

Templatener ⭐ 64

Source code for template-based NER

Deviation Network ⭐ 64

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

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

Ssl Few Shot ⭐ 60

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

Mixing Language Models with Self-Verification and Meta-Verification

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

Bongard Hoi ⭐ 55

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

Multidigitmnist ⭐ 54

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

Matching Networks ⭐ 51

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

Deltagan Few Shot Image Generation ⭐ 49

[ECCV 2022] Generate sample-specific intra-category deltas for few-shot image generation.

[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition

PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)

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/

Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.

Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

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

Ssformers ⭐ 43

This repository is the code of the paper "Sparse Spatial Transformers for Few-Shot Learning (SCIENCE CHINA Information Sciences)".

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

Lofgan Pytorch ⭐ 41

LoFGAN: Fusing Local Representations for Few-shot Image Generation. (ICCV 2021)

Tk Instruct ⭐ 41

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

F2gan Few Shot Image Generation ⭐ 41

Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020

Manifest ⭐ 41

Few-shot image translation method working on unstructured environments. ECCV 2022

Few Shot Lm ⭐ 40

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

Pytorch Meta Dataset ⭐ 40

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

Simple Cnaps ⭐ 40

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" (TPAMI 2022 - in submission)

Protoner ⭐ 39

Few-shot classification in Named Entity Recognition Task

Official PaddlePaddle Implementation of Few-Shot Font Generation by Learning Fine-Grained Local Styles (FsFont)

Fewshotviewpoint ⭐ 38

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

Channel_importance_fsl ⭐ 38

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

Prototransfer ⭐ 37

Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

Sib_meta_learn ⭐ 37

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Language Models of Code are Few-Shot Commonsense Learners

Meta Fine Tuning ⭐ 36

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Cluttered Omniglot ⭐ 35

Cluttered Omniglot dataset and models

Cdfsl Ata ⭐ 35

[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Learning To Compare For Text ⭐ 34

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

Awesome Fine Grained Few Shot Learning ⭐ 34

The summary of code and paper for few-shot learning in fine-grained recognition

Covamnet ⭐ 34

The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.

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

Memopainter Pytorch ⭐ 33

An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

Invariance Equivariance ⭐ 33

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

Unicorn Maml ⭐ 32

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

Adept Augmentations ⭐ 31

A Python library aimed at dissecting and augmenting NER training data.

Universalrepresentations ⭐ 31

Universal Representations: A Unified Look at Multiple Task and Domain Learning

Large_vlm_distillation_ood ⭐ 29

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)

Prototypical Networks ⭐ 29

A novel method for few shot learning

Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation

Cvpr2022 Task Discrepancy Maximization For Fine Grained Few Shot Classification ⭐ 28

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

Awesome Few Shot ⭐ 27

Awesome Few-shot learning

Awesome Few Shot Meta Learning ⭐ 27

awesome few shot / meta learning papers

Few Shot Segmentation ⭐ 27

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

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

Zero Shot Fact Verification ⭐ 26

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

Prompt Tuning ⭐ 26

A pipeline for Prompt-tuning

Lite Self-Training

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

a deep recurrent model for exchangeable data

Flexkbqa ⭐ 25

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Miningfss ⭐ 25

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Understanding Cdfsl ⭐ 23

(NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

Efficient Fsod ⭐ 23

The official implementation of Efficient Few-Shot Object Detection via Knowledge Inheritance (TIP 2022)

Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

Few_shot_learning ⭐ 21

Awesome papers in few-shot learning/one-shot learning.

[ICCV19&TNNLS23] Few-Shot Image Recognition with Knowledge Transfer

Source code for the "GRASP: Guiding model with RelAtional Semantics using Prompt"

Code for NAACL2022 Long Paper "An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling"

Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).

MTUNet: Few-shot Image Classification with Visual Explanations

Prototypical Networks Tf ⭐ 20

Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0

Sinkhorn Label Allocation ⭐ 20

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms.

Few-shot Learning with Auxiliary Data

Ieee_tnnls_gia Cfsl ⭐ 19

Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.

Multimodal Meta Learn ⭐ 19

Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".

This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)".

Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)

Globalfsl2019 ⭐ 18

Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)

Code for "Conditional Self-Supervised Learning for Few-Shot Classification" in IJCAI 2021.

Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification

[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

Protonet Bert Text Classification ⭐ 16

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

Few_shot_dialogue_generation ⭐ 16

Dialogue Knowledge Transfer Networks (DiKTNet)

NeurIPS 2021 - Few-shot learning competition

Awesome_few_shot_learning ⭐ 16

Advances of few-shot learning, especially for NLP applications.

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

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