Topic: few-shot Goto Github
Some thing interesting about few-shot
Some thing interesting about few-shot
few-shot,Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
User: abdulfatir
few-shot,Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
Organization: adobe-research
Home Page: https://www.cs.cmu.edu/~custom-diffusion
few-shot,Few-shot Learning with Auxiliary Data
User: alon-albalak
few-shot,BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Organization: amazon-science
few-shot,[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
User: anirudh257
Home Page: https://anirudh257.github.io/strm/
few-shot,Few-shot image translation method working on unstructured environments. ECCV 2022
Organization: astra-vision
few-shot,[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
User: bychelsea
few-shot,A new comprehensive and diverse few-shot acoustic classification benchmark.
User: cheggan
few-shot,PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
Organization: dvlab-research
few-shot,[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
User: endlesssora
few-shot,FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
User: fanq15
Home Page: https://github.com/fanq15/FewX
few-shot,1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.
User: frozenmad
few-shot,A PyTorch implementation of OpenAI's REPTILE algorithm
User: gabrielhuang
few-shot,The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
User: gentaiscool
few-shot,Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
User: gitabcworld
few-shot,Zero and Few shot named entity & relationships recognition
Organization: ibm
Home Page: https://ibm.github.io/zshot
few-shot,Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
User: jakesnell
few-shot,Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
User: jianguoz
few-shot,Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-θΏη§»ε¦δΉ
User: jindongwang
Home Page: http://transferlearning.xyz/
few-shot,Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
User: kjunelee
few-shot,A PyTorch Library for Meta-learning Research
Organization: learnables
Home Page: http://learn2learn.net
few-shot,FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
User: leezythu
few-shot,(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
User: mboudiaf
few-shot,LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation
User: mddunlap924
few-shot,A unified multi-task time series model.
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/UniTS/
few-shot,Alignment Attention Fusion framework for Few-Shot Object Detection
User: pierlj
few-shot,Learning low-shot object classification with explicit shape bias learned from point clouds
Organization: rehg-lab
Home Page: https://rehg-lab.github.io/publication-pages/lowshot-shapebias/
few-shot,Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.
User: seanlee97
few-shot,The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Organization: sha-lab
few-shot,Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
User: shellysheynin
few-shot,This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
User: snbqt
few-shot,FSL-Mate: A collection of resources for few-shot learning (FSL).
User: tata1661
few-shot,Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Organization: thunlp
few-shot,CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
User: tohinz
few-shot,collection of diffusion model papers categorized by their subareas
User: wangkai930418
few-shot,Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.
User: wenliangdai
few-shot,Implementation for <Neural Similarity Learning> in NeurIPS'19.
User: wy1iu
few-shot,A few shot learning repository for bearing fault diagnosis.
User: xiaohan-chen
few-shot,An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
User: xiaohan-chen
few-shot,A transfer learning fault diagnosis repository covering popular algorithms
User: xiaohan-chen
few-shot,Tools for generating mini-ImageNet dataset and processing batches
User: yaoyao-liu
Home Page: https://mtl.yyliu.net/datasets/
few-shot,Tools for generating tieredImageNet dataset and processing batches
User: yaoyao-liu
Home Page: https://mtl.yyliu.net/datasets
few-shot,Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
User: yoonholee
few-shot,Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
User: ze-yang
Home Page: https://arxiv.org/abs/2003.07304
few-shot,A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
User: zhiqan
few-shot,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Organization: zjunlp
Home Page: http://deepke.zjukg.cn/
few-shot,[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Organization: zjunlp
Home Page: https://zjunlp.github.io/project/LREBench
few-shot,[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
Organization: zjunlp
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