An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
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Updated
May 19, 2024 - Python
An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
FSL-Mate: A collection of resources for few-shot learning (FSL).
collection of diffusion model papers categorized by their subareas
A transfer learning fault diagnosis repository covering popular algorithms
Official PyTorch implementation of SynergyNeRF: "Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs from Sparse Inputs (ICML2024)"
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A unified multi-task time series model.
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL 2024.
Official implementation of the EACL Findings 2024 paper: Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"
A quick reimplementation of the two datasets ("digits" and "commands") proposed in the paper "An Investigation of Few-Shot Learning in Spoken Term Classification"
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
This repository lists some awesome public Open World object detection series projects.
Zero and Few shot named entity & relationships recognition
A demonstration repo for how to do automatic translation using local llms.
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023.
Official code for "Multi-Level Motion Attention with Contrastive Learning for Few-shot Action Recognition" (IICASSP2024)
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
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