System of distant supervision | Система дистанционного надзора
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
This is an official pytorch implementation of Learning To Recognize Procedural Activities with Distant Supervision. In this repository, we provide PyTorch code for training and testing as described in...
Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.
Combining Distant and Direct Supervision for Neural Relation Extraction
We write your reusable computer vision tools. 💜
Awesome weakly-supervised image semantic segmentation；scribble supervision，bounding box supervision, point supervision, image-level class supervision
whisper 是一个通用语音识别模型
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Full blown refactor of JpGraph v3.5. Distant cousin of current official package
More interactive weak supervision with FlyingSquid
[ECCV2020] Knowledge Distillation Meets Self-Supervision
#计算机科学#A system for quickly generating training data with weak supervision
翻译 - 一种在监管不力的情况下快速生成训练数据的系统
Learning audio concepts from natural language supervision
Labelling platform for text using weak supervision.
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
翻译 - “使用图像级监督检测两万个班级”的代码发布。
#自然语言处理#skweak: A software toolkit for weak supervision applied to NLP tasks
翻译 - skweak：适用于 NLP 任务的弱监督软件工具包
[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Code release for SLIP Self-supervision meets Language-Image Pre-training
翻译 - SLIP 自监督的代码发布满足语言-图像预训练
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors