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Search results for few shot learning

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290 search results found

One Shot Steel Surfaces ⭐ 15

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Few_shot_slot_tagging_and_ner ⭐ 15

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

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

Signal Level Deep Metric Learning for One-Shot Action Recognition

Dynamic Cdfsl ⭐ 15

Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".

Fsad Net ⭐ 15

Offical code for 'Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy' [MICCAI 2020]

Dropgrad ⭐ 14

Regularizing Meta-Learning via Gradient Dropout

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

Learningtocompare Tensorflow ⭐ 14

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

Cross Transformers Pytorch ⭐ 13

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

Lm Supcon ⭐ 13

[NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

Realistic_transductive_few_shot ⭐ 13

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

Lowshot Shapebias ⭐ 13

Learning low-shot object classification with explicit shape bias learned from point clouds

Metric Few Shot Graph ⭐ 13

Few-Shot Graph Classification via distance metric learning.

Labelhalluc ⭐ 13

[AAAI 2022] Label Hallucination for Few-Shot Classification

Orbit 2022 Winner Method ⭐ 13

Few-Shot Video Object Recognition with Embedding Adaptation and Uniform Clip Sampling: Winner of ORBIT Few-Shot Object Recognition Challenge 2022

Fewshotqat ⭐ 13

[BMVC 2021]: Official PyTorch implementation of : "Few Shot Temporal Action Localization using Query Adaptive Transformers"

CSS-LM: Contrastive Semi-supervised Fine-tuning of Pre-trained Language Models

Few_shot_sam ⭐ 12

FEWSAM Few-shot Segmentation tool based on Segment Anything

Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)

Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Behavioral Stylometry ⭐ 11

Accurate and scalable few-shot identification of chess players from their moves alone

Large Scale Pretraining Transfer ⭐ 11

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Few Shot Learning For Fault Diagnosis ⭐ 10

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

Pytorch source code of ESPT method in AAAI 2023

Tip_2022_cmfsl ⭐ 10

Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022

Timehetnet ⭐ 10

Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar datasets is a well-established technique for classification problems called few-shot classification. However, existing approaches cannot be applied to time-series forecasting because i) multivariate time-series datasets have different channels and ii) forecasting is principally different from classificat

Behind The Scenes ⭐ 10

Code and data for CIKM-2021 paper《Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification》

Contextual Squeeze And Excitation ⭐ 10

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

Hcn Prototypeloss Pytorch ⭐ 10

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

Prototypical Networks Few Shot Learning ⭐ 10

Pytorch implementation of prototypical networks in few shot learning

Prompt Adapter ⭐ 10

Prompt Tuning based Adapter for Vision-Language Model Adaption

Tgg Pytorch ⭐ 10

The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".

Geoformer ⭐ 10

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)

Bsfa Fsfg ⭐ 9

[TCSVT23] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

Cml_amp_few Shot_text_classification ⭐ 9

Perform topic classification on news articles in several limited-labeled data regimes.

Meta Omnium ⭐ 9

Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"

Transfer Learning in Dialogue Benchmarking Toolkit

[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition

Alreadyme Ai Research ⭐ 9

Generate README.md with GPT-3 few-shot learning

Few Shot Learning ⭐ 9

One-shot Learning: Learning from fewer dataset with a single or few training examples. Exploration of method and techniques for state-of-the-art results

Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning

Deep Outlier Detection ⭐ 8

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

Code for "From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning" in TPAMI 2023.

Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction.

Meta Transformer Amc ⭐ 8

Meta-Transformer: A meta-learning framework for scalable automatic modulation classification

Latent Space Transform ⭐ 7

⛳️ The official repository for the LST-MAP model for few-shot image classification.

Meta Learning Paperreading ⭐ 7

Notes for daily reading papers

Cd Metadl ⭐ 7

NeurIPS 2022 - Cross-domain meta-learning competition

Acl2023 Micse ⭐ 7

Source code for ACL 2023 paper "miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings".

Parkinson detection based on wave sketches and deep learning - PDS

Matching Networks Tf ⭐ 7

Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0

Chatgpt Turbocli ⭐ 7

Supports inputting data via files, features summarization of larger inputs, multi-line input, token usage stats. The program is flexible when initiating new chats and supports various named personas and preloading history in yaml files. Easily store jailbreak personas and stories.

Firth_bias_reduction ⭐ 7

This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

Stc Maml Pytorch ⭐ 7

A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'

Patchcore Few Shot ⭐ 7

Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

Few Shot Fault Diagnosis ⭐ 7

A few shot learning repository for bearing fault diagnosis.

Transfer Sgc ⭐ 7

Code for "Exploiting Unsupervised Inputs for Accurate Few-Shot Classification"

Code for the AAAI 2021 paper "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition".

Funit_tensorflow ⭐ 6

Tensorflow Implementation of FUNIT: Few-Shot Unsupervised Image-to-Image Translation

This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".

Mann Meta Learning ⭐ 6

A tensorflow implement of Memory-Augmented Neural Network

This is the implementation of ViewNet

Few Shot Regression Meta Learning ⭐ 6

Few Shot Regression of Periodic and Basic Polynomial Functions using MAML and Reptile Method

Mlrc 2021 Few Shot Learning And Self Supervision ⭐ 6

Does Self-supervision Always Improve Few-shot Learning? - A Reproducibility Report of "When Does Self-supervision Improve Few-shot Learning?" (ECCV 2020)

[CVPR2023] Practical Network Acceleration with Tiny Sets

Talktotaipy ⭐ 6

Manipulate and visualize data with only natural language prompts

Subspace Reg ⭐ 6

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

Multi_task_neural_processes ⭐ 6

[ICLR'22] Multi-Task Neural Processes

Alreadyme Ai Serving ⭐ 6

Serving large language model with transformers

[ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

Visual Contrastive Learning For Few Shot Image Classification ⭐ 6

Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

Counting Detr ⭐ 6

Few-shot Object Counting and Detection (ECCV 2022)

A Closer Look At Fsig ⭐ 5

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022

Covid19 Few Shot Learning ⭐ 5

Neuralmemorypapers ⭐ 5

🤖 An up-to-date & curated paper list of Neural Network with External Memory

Dual Domain Synthesis ⭐ 5

Source Code for Dual-Domain Image Synthesis Using Segmentation-Guided GAN

Lgm Net Pytorch ⭐ 5

A pytorch implementation of LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning(ICML 2019)

Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)

Meta Learning Study ⭐ 5

Deepest Season 6 Meta-Learning study papers plus alpha

Few Shot Learning ⭐ 5

Curated List of Few shot and One shot Learning Papers and resources

[ECCV 2022] Few-shot class incremental learning on 3D point clouid objects

Defensivefsl ⭐ 5

The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2022.

Prototypical Networks ⭐ 5

Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.

Realtime Retinanet ⭐ 5

Create a real-time object detection with a few examples using RetinaNet.

Interactive Skeleton Based Few Shot Action Recognition

Atsc_prompts ⭐ 5

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

201-290 of 290 search results

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